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Hilalem/DS0103EN-4-4-1-From-Modeling-to-Evaluation-v2.0.ipynb

Created February 16, 2020 18:19
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DS0103EN-4-4-1-From-Modeling-to-Evaluation-v2.0.ipynb
{
"cells": [
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"source": [
"<a href=\"https://cognitiveclass.ai\"><img src = \"https://ibm.box.com/shared/static/9gegpsmnsoo25ikkbl4qzlvlyjbgxs5x.png\" width = 400> </a>\n",
"\n",
"<h1 align=center><font size = 5>From Modeling to Evaluation</font></h1>"
]
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"source": [
"## Introduction\n",
"\n",
"In this lab, we will continue learning about the data science methodology, and focus on the **Modeling** and **Evaluation** stages.\n",
"\n",
"------------"
]
},
{
"cell_type": "markdown",
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"source": [
"## Table of Contents\n",
"\n",
"\n",
"<div class=\"alert alert-block alert-info\" style=\"margin-top: 20px\">\n",
"\n",
"1. [Recap](#0)<br>\n",
"2. [Data Modeling](#2)<br>\n",
"3. [Model Evaluation](#4)<br>\n",
"</div>\n",
"<hr>"
]
},
{
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"source": [
"# Recap <a id=\"0\"></a>\n",
"\n",
"In Lab **From Understanding to Preparation**, we explored the data and prepared it for modeling."
]
},
{
"cell_type": "markdown",
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"source": [
"The data was compiled by a researcher named Yong-Yeol Ahn, who scraped tens of thousands of food recipes (cuisines and ingredients) from three different websites, namely:"
]
},
{
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"source": [
"<img src=\"https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DS0103EN/labs/images/lab4_fig1_allrecipes.png\" width=500>\n",
"\n",
"www.allrecipes.com\n",
"\n",
"<img src=\"https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DS0103EN/labs/images/lab4_fig2_epicurious.png\" width=500>\n",
"\n",
"www.epicurious.com\n",
"\n",
"<img src=\"https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DS0103EN/labs/images/lab4_fig3_menupan.png\" width=500>\n",
"\n",
"www.menupan.com"
]
},
{
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"source": [
"For more information on Yong-Yeol Ahn and his research, you can read his paper on [Flavor Network and the Principles of Food Pairing](http://yongyeol.com/papers/ahn-flavornet-2011.pdf)."
]
},
{
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"source": [
"<strong> Important note:</strong> Please note that you are not expected to know how to program in Python. This lab is meant to illustrate the stages of modeling and evaluation of the data science methodology, so it is totally fine if you do not understand the individual lines of code. We have a full course on programming in Python, <a href=\"http://cocl.us/PY0101EN_DS0103EN_LAB4_PYTHON_Coursera\"><strong>Python for Data Science</strong></a>, which is also offered on Coursera. So make sure to complete the Python course if you are interested in learning how to program in Python."
]
},
{
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"source": [
"### Using this notebook:\n",
"\n",
"To run any of the following cells of code, you can type **Shift + Enter** to excute the code in a cell."
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
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},
"source": [
"Download the library and dependencies that we will need to run this lab."
]
},
{
"cell_type": "code",
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"source": [
"import pandas as pd # import library to read data into dataframe\n",
"pd.set_option(\"display.max_columns\", None)\n",
"import numpy as np # import numpy library\n",
"import re # import library for regular expression\n",
"import random # library for random number generation"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
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},
"source": [
"We already placed the data on an IBM server for your convenience, so let's download it from server and read it into a dataframe called **recipes**."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"button": false,
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"run_control": {
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},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Data read into dataframe!\n"
]
}
],
"source": [
"recipes = pd.read_csv(\"https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DS0103EN/labs/data/recipes.csv\")\n",
"\n",
"print(\"Data read into dataframe!\") # takes about 30 seconds"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
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}
},
"source": [
"We will repeat the preprocessing steps that we implemented in Lab **From Understanding to Preparation** in order to prepare the data for modeling. For more details on preparing the data, please refer to Lab **From Understanding to Preparation**."
]
},
{
"cell_type": "code",
"execution_count": 4,
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"button": false,
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},
"outputs": [],
"source": [
"# fix name of the column displaying the cuisine\n",
"column_names = recipes.columns.values\n",
"column_names[0] = \"cuisine\"\n",
"recipes.columns = column_names\n",
"\n",
"# convert cuisine names to lower case\n",
"recipes[\"cuisine\"] = recipes[\"cuisine\"].str.lower()\n",
"\n",
"# make the cuisine names consistent\n",
"recipes.loc[recipes[\"cuisine\"] == \"austria\", \"cuisine\"] = \"austrian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"belgium\", \"cuisine\"] = \"belgian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"china\", \"cuisine\"] = \"chinese\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"canada\", \"cuisine\"] = \"canadian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"netherlands\", \"cuisine\"] = \"dutch\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"france\", \"cuisine\"] = \"french\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"germany\", \"cuisine\"] = \"german\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"india\", \"cuisine\"] = \"indian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"indonesia\", \"cuisine\"] = \"indonesian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"iran\", \"cuisine\"] = \"iranian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"italy\", \"cuisine\"] = \"italian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"japan\", \"cuisine\"] = \"japanese\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"israel\", \"cuisine\"] = \"jewish\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"korea\", \"cuisine\"] = \"korean\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"lebanon\", \"cuisine\"] = \"lebanese\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"malaysia\", \"cuisine\"] = \"malaysian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"mexico\", \"cuisine\"] = \"mexican\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"pakistan\", \"cuisine\"] = \"pakistani\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"philippines\", \"cuisine\"] = \"philippine\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"scandinavia\", \"cuisine\"] = \"scandinavian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"spain\", \"cuisine\"] = \"spanish_portuguese\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"portugal\", \"cuisine\"] = \"spanish_portuguese\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"switzerland\", \"cuisine\"] = \"swiss\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"thailand\", \"cuisine\"] = \"thai\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"turkey\", \"cuisine\"] = \"turkish\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"vietnam\", \"cuisine\"] = \"vietnamese\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"uk-and-ireland\", \"cuisine\"] = \"uk-and-irish\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"irish\", \"cuisine\"] = \"uk-and-irish\"\n",
"\n",
"\n",
"# remove data for cuisines with < 50 recipes:\n",
"recipes_counts = recipes[\"cuisine\"].value_counts()\n",
"cuisines_indices = recipes_counts > 50\n",
"\n",
"cuisines_to_keep = list(np.array(recipes_counts.index.values)[np.array(cuisines_indices)])\n",
"recipes = recipes.loc[recipes[\"cuisine\"].isin(cuisines_to_keep)]\n",
"\n",
"# convert all Yes's to 1's and the No's to 0's\n",
"recipes = recipes.replace(to_replace=\"Yes\", value=1)\n",
"recipes = recipes.replace(to_replace=\"No\", value=0)"
]
},
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"source": [
"<hr>"
]
},
{
"cell_type": "markdown",
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"new_sheet": false,
"run_control": {
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},
"source": [
"# Data Modeling <a id=\"2\"></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
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"new_sheet": false,
"run_control": {
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},
"source": [
"<img src=\"https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DS0103EN/labs/images/lab4_fig4_flowchart_data_modeling.png\" width=500>"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
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},
"source": [
"Download and install more libraries and dependies to build decision trees."
]
},
{
"cell_type": "code",
"execution_count": 5,
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"button": false,
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Solving environment: done\n",
"\n",
"\n",
"==> WARNING: A newer version of conda exists. <==\n",
" current version: 4.5.11\n",
" latest version: 4.8.2\n",
"\n",
"Please update conda by running\n",
"\n",
" $ conda update -n base -c defaults conda\n",
"\n",
"\n",
"\n",
"## Package Plan ##\n",
"\n",
" environment location: /home/jupyterlab/conda/envs/python\n",
"\n",
" added / updated specs: \n",
" - python-graphviz\n",
"\n",
"\n",
"The following packages will be downloaded:\n",
"\n",
" package | build\n",
" ---------------------------|-----------------\n",
" certifi-2019.11.28 | py36_0 156 KB\n",
" python-graphviz-0.13.2 | py_0 24 KB\n",
" openssl-1.1.1d | h7b6447c_4 3.7 MB\n",
" ------------------------------------------------------------\n",
" Total: 3.9 MB\n",
"\n",
"The following NEW packages will be INSTALLED:\n",
"\n",
" python-graphviz: 0.13.2-py_0 \n",
"\n",
"The following packages will be UPDATED:\n",
"\n",
" certifi: 2019.9.11-py36_0 conda-forge --> 2019.11.28-py36_0\n",
" openssl: 1.1.1d-h516909a_0 conda-forge --> 1.1.1d-h7b6447c_4\n",
"\n",
"\n",
"Downloading and Extracting Packages\n",
"certifi-2019.11.28 | 156 KB | ##################################### | 100% \n",
"python-graphviz-0.13 | 24 KB | ##################################### | 100% \n",
"openssl-1.1.1d | 3.7 MB | ##################################### | 100% \n",
"Preparing transaction: done\n",
"Verifying transaction: done\n",
"Executing transaction: done\n"
]
}
],
"source": [
"# import decision trees scikit-learn libraries\n",
"%matplotlib inline\n",
"from sklearn import tree\n",
"from sklearn.metrics import accuracy_score, confusion_matrix\n",
"\n",
"import matplotlib.pyplot as plt\n",
"\n",
"!conda install python-graphviz --yes\n",
"import graphviz\n",
"\n",
"from sklearn.tree import export_graphviz\n",
"\n",
"import itertools"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Check the data again!"
]
},
{
"cell_type": "code",
"execution_count": 6,
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"outputs": [
{
"data": {
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"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>cuisine</th>\n",
" <th>almond</th>\n",
" <th>angelica</th>\n",
" <th>anise</th>\n",
" <th>anise_seed</th>\n",
" <th>apple</th>\n",
" <th>apple_brandy</th>\n",
" <th>apricot</th>\n",
" <th>armagnac</th>\n",
" <th>artemisia</th>\n",
" <th>artichoke</th>\n",
" <th>asparagus</th>\n",
" <th>avocado</th>\n",
" <th>bacon</th>\n",
" <th>baked_potato</th>\n",
" <th>balm</th>\n",
" <th>banana</th>\n",
" <th>barley</th>\n",
" <th>bartlett_pear</th>\n",
" <th>basil</th>\n",
" <th>bay</th>\n",
" <th>bean</th>\n",
" <th>beech</th>\n",
" <th>beef</th>\n",
" <th>beef_broth</th>\n",
" <th>beef_liver</th>\n",
" <th>beer</th>\n",
" <th>beet</th>\n",
" <th>bell_pepper</th>\n",
" <th>bergamot</th>\n",
" <th>berry</th>\n",
" <th>bitter_orange</th>\n",
" <th>black_bean</th>\n",
" <th>black_currant</th>\n",
" <th>black_mustard_seed_oil</th>\n",
" <th>black_pepper</th>\n",
" <th>black_raspberry</th>\n",
" <th>black_sesame_seed</th>\n",
" <th>black_tea</th>\n",
" <th>blackberry</th>\n",
" <th>blackberry_brandy</th>\n",
" <th>blue_cheese</th>\n",
" <th>blueberry</th>\n",
" <th>bone_oil</th>\n",
" <th>bourbon_whiskey</th>\n",
" <th>brandy</th>\n",
" <th>brassica</th>\n",
" <th>bread</th>\n",
" <th>broccoli</th>\n",
" <th>brown_rice</th>\n",
" <th>brussels_sprout</th>\n",
" <th>buckwheat</th>\n",
" <th>butter</th>\n",
" <th>buttermilk</th>\n",
" <th>cabbage</th>\n",
" <th>cabernet_sauvignon_wine</th>\n",
" <th>cacao</th>\n",
" <th>camembert_cheese</th>\n",
" <th>cane_molasses</th>\n",
" <th>caraway</th>\n",
" <th>cardamom</th>\n",
" <th>carnation</th>\n",
" <th>carob</th>\n",
" <th>carrot</th>\n",
" <th>cashew</th>\n",
" <th>cassava</th>\n",
" <th>catfish</th>\n",
" <th>cauliflower</th>\n",
" <th>caviar</th>\n",
" <th>cayenne</th>\n",
" <th>celery</th>\n",
" <th>celery_oil</th>\n",
" <th>cereal</th>\n",
" <th>chamomile</th>\n",
" <th>champagne_wine</th>\n",
" <th>chayote</th>\n",
" <th>cheddar_cheese</th>\n",
" <th>cheese</th>\n",
" <th>cherry</th>\n",
" <th>cherry_brandy</th>\n",
" <th>chervil</th>\n",
" <th>chicken</th>\n",
" <th>chicken_broth</th>\n",
" <th>chicken_liver</th>\n",
" <th>chickpea</th>\n",
" <th>chicory</th>\n",
" <th>chinese_cabbage</th>\n",
" <th>chive</th>\n",
" <th>cider</th>\n",
" <th>cilantro</th>\n",
" <th>cinnamon</th>\n",
" <th>citrus</th>\n",
" <th>citrus_peel</th>\n",
" <th>clam</th>\n",
" <th>clove</th>\n",
" <th>cocoa</th>\n",
" <th>coconut</th>\n",
" <th>coconut_oil</th>\n",
" <th>cod</th>\n",
" <th>coffee</th>\n",
" <th>cognac</th>\n",
" <th>concord_grape</th>\n",
" <th>condiment</th>\n",
" <th>coriander</th>\n",
" <th>corn</th>\n",
" <th>corn_flake</th>\n",
" <th>corn_grit</th>\n",
" <th>cottage_cheese</th>\n",
" <th>crab</th>\n",
" <th>cranberry</th>\n",
" <th>cream</th>\n",
" <th>cream_cheese</th>\n",
" <th>cucumber</th>\n",
" <th>cumin</th>\n",
" <th>cured_pork</th>\n",
" <th>currant</th>\n",
" <th>date</th>\n",
" <th>dill</th>\n",
" <th>durian</th>\n",
" <th>eel</th>\n",
" <th>egg</th>\n",
" <th>egg_noodle</th>\n",
" <th>elderberry</th>\n",
" <th>emmental_cheese</th>\n",
" <th>endive</th>\n",
" <th>enokidake</th>\n",
" <th>fennel</th>\n",
" <th>fenugreek</th>\n",
" <th>feta_cheese</th>\n",
" <th>fig</th>\n",
" <th>fish</th>\n",
" <th>flower</th>\n",
" <th>frankfurter</th>\n",
" <th>fruit</th>\n",
" <th>galanga</th>\n",
" <th>gardenia</th>\n",
" <th>garlic</th>\n",
" <th>gelatin</th>\n",
" <th>geranium</th>\n",
" <th>gin</th>\n",
" <th>ginger</th>\n",
" <th>goat_cheese</th>\n",
" <th>grape</th>\n",
" <th>grape_brandy</th>\n",
" <th>grape_juice</th>\n",
" <th>grapefruit</th>\n",
" <th>green_bell_pepper</th>\n",
" <th>green_tea</th>\n",
" <th>gruyere_cheese</th>\n",
" <th>guava</th>\n",
" <th>haddock</th>\n",
" <th>ham</th>\n",
" <th>hazelnut</th>\n",
" <th>herring</th>\n",
" <th>holy_basil</th>\n",
" <th>honey</th>\n",
" <th>hop</th>\n",
" <th>horseradish</th>\n",
" <th>huckleberry</th>\n",
" <th>jamaican_rum</th>\n",
" <th>japanese_plum</th>\n",
" <th>jasmine</th>\n",
" <th>jasmine_tea</th>\n",
" <th>juniper_berry</th>\n",
" <th>kaffir_lime</th>\n",
" <th>kale</th>\n",
" <th>katsuobushi</th>\n",
" <th>kelp</th>\n",
" <th>kidney_bean</th>\n",
" <th>kiwi</th>\n",
" <th>kohlrabi</th>\n",
" <th>kumquat</th>\n",
" <th>lamb</th>\n",
" <th>lard</th>\n",
" <th>laurel</th>\n",
" <th>lavender</th>\n",
" <th>leaf</th>\n",
" <th>leek</th>\n",
" <th>lemon</th>\n",
" <th>lemon_juice</th>\n",
" <th>lemon_peel</th>\n",
" <th>lemongrass</th>\n",
" <th>lentil</th>\n",
" <th>lettuce</th>\n",
" <th>licorice</th>\n",
" <th>lilac_flower_oil</th>\n",
" <th>lima_bean</th>\n",
" <th>lime</th>\n",
" <th>lime_juice</th>\n",
" <th>lime_peel_oil</th>\n",
" <th>lingonberry</th>\n",
" <th>litchi</th>\n",
" <th>liver</th>\n",
" <th>lobster</th>\n",
" <th>long_pepper</th>\n",
" <th>lovage</th>\n",
" <th>macadamia_nut</th>\n",
" <th>macaroni</th>\n",
" <th>mace</th>\n",
" <th>mackerel</th>\n",
" <th>malt</th>\n",
" <th>mandarin</th>\n",
" <th>mandarin_peel</th>\n",
" <th>mango</th>\n",
" <th>maple_syrup</th>\n",
" <th>marjoram</th>\n",
" <th>mate</th>\n",
" <th>matsutake</th>\n",
" <th>meat</th>\n",
" <th>melon</th>\n",
" <th>milk</th>\n",
" <th>milk_fat</th>\n",
" <th>mint</th>\n",
" <th>mozzarella_cheese</th>\n",
" <th>mung_bean</th>\n",
" <th>munster_cheese</th>\n",
" <th>muscat_grape</th>\n",
" <th>mushroom</th>\n",
" <th>mussel</th>\n",
" <th>mustard</th>\n",
" <th>mutton</th>\n",
" <th>nectarine</th>\n",
" <th>nira</th>\n",
" <th>nut</th>\n",
" <th>nutmeg</th>\n",
" <th>oat</th>\n",
" <th>oatmeal</th>\n",
" <th>octopus</th>\n",
" <th>okra</th>\n",
" <th>olive</th>\n",
" <th>olive_oil</th>\n",
" <th>onion</th>\n",
" <th>orange</th>\n",
" <th>orange_flower</th>\n",
" <th>orange_juice</th>\n",
" <th>orange_peel</th>\n",
" <th>oregano</th>\n",
" <th>ouzo</th>\n",
" <th>oyster</th>\n",
" <th>palm</th>\n",
" <th>papaya</th>\n",
" <th>parmesan_cheese</th>\n",
" <th>parsley</th>\n",
" <th>parsnip</th>\n",
" <th>passion_fruit</th>\n",
" <th>pea</th>\n",
" <th>peach</th>\n",
" <th>peanut</th>\n",
" <th>peanut_butter</th>\n",
" <th>peanut_oil</th>\n",
" <th>pear</th>\n",
" <th>pear_brandy</th>\n",
" <th>pecan</th>\n",
" <th>pelargonium</th>\n",
" <th>pepper</th>\n",
" <th>peppermint</th>\n",
" <th>peppermint_oil</th>\n",
" <th>pimenta</th>\n",
" <th>pimento</th>\n",
" <th>pineapple</th>\n",
" <th>pistachio</th>\n",
" <th>plum</th>\n",
" <th>popcorn</th>\n",
" <th>porcini</th>\n",
" <th>pork</th>\n",
" <th>pork_liver</th>\n",
" <th>pork_sausage</th>\n",
" <th>port_wine</th>\n",
" <th>potato</th>\n",
" <th>potato_chip</th>\n",
" <th>prawn</th>\n",
" <th>prickly_pear</th>\n",
" <th>provolone_cheese</th>\n",
" <th>pumpkin</th>\n",
" <th>quince</th>\n",
" <th>radish</th>\n",
" <th>raisin</th>\n",
" <th>rapeseed</th>\n",
" <th>raspberry</th>\n",
" <th>raw_beef</th>\n",
" <th>red_algae</th>\n",
" <th>red_bean</th>\n",
" <th>red_kidney_bean</th>\n",
" <th>red_wine</th>\n",
" <th>rhubarb</th>\n",
" <th>rice</th>\n",
" <th>roasted_almond</th>\n",
" <th>roasted_beef</th>\n",
" <th>roasted_hazelnut</th>\n",
" <th>roasted_meat</th>\n",
" <th>roasted_nut</th>\n",
" <th>roasted_peanut</th>\n",
" <th>roasted_pecan</th>\n",
" <th>roasted_pork</th>\n",
" <th>roasted_sesame_seed</th>\n",
" <th>romano_cheese</th>\n",
" <th>root</th>\n",
" <th>roquefort_cheese</th>\n",
" <th>rose</th>\n",
" <th>rosemary</th>\n",
" <th>rum</th>\n",
" <th>rutabaga</th>\n",
" <th>rye_bread</th>\n",
" <th>rye_flour</th>\n",
" <th>saffron</th>\n",
" <th>sage</th>\n",
" <th>sake</th>\n",
" <th>salmon</th>\n",
" <th>salmon_roe</th>\n",
" <th>sassafras</th>\n",
" <th>sauerkraut</th>\n",
" <th>savory</th>\n",
" <th>scallion</th>\n",
" <th>scallop</th>\n",
" <th>sea_algae</th>\n",
" <th>seaweed</th>\n",
" <th>seed</th>\n",
" <th>sesame_oil</th>\n",
" <th>sesame_seed</th>\n",
" <th>shallot</th>\n",
" <th>sheep_cheese</th>\n",
" <th>shellfish</th>\n",
" <th>sherry</th>\n",
" <th>shiitake</th>\n",
" <th>shrimp</th>\n",
" <th>smoke</th>\n",
" <th>smoked_fish</th>\n",
" <th>smoked_salmon</th>\n",
" <th>smoked_sausage</th>\n",
" <th>sour_cherry</th>\n",
" <th>sour_milk</th>\n",
" <th>soy_sauce</th>\n",
" <th>soybean</th>\n",
" <th>soybean_oil</th>\n",
" <th>spearmint</th>\n",
" <th>squash</th>\n",
" <th>squid</th>\n",
" <th>star_anise</th>\n",
" <th>starch</th>\n",
" <th>strawberry</th>\n",
" <th>strawberry_jam</th>\n",
" <th>strawberry_juice</th>\n",
" <th>sturgeon_caviar</th>\n",
" <th>sumac</th>\n",
" <th>sunflower_oil</th>\n",
" <th>sweet_potato</th>\n",
" <th>swiss_cheese</th>\n",
" <th>tabasco_pepper</th>\n",
" <th>tamarind</th>\n",
" <th>tangerine</th>\n",
" <th>tarragon</th>\n",
" <th>tea</th>\n",
" <th>tequila</th>\n",
" <th>thai_pepper</th>\n",
" <th>thyme</th>\n",
" <th>tomato</th>\n",
" <th>tomato_juice</th>\n",
" <th>truffle</th>\n",
" <th>tuna</th>\n",
" <th>turkey</th>\n",
" <th>turmeric</th>\n",
" <th>turnip</th>\n",
" <th>vanilla</th>\n",
" <th>veal</th>\n",
" <th>vegetable</th>\n",
" <th>vegetable_oil</th>\n",
" <th>vinegar</th>\n",
" <th>violet</th>\n",
" <th>walnut</th>\n",
" <th>wasabi</th>\n",
" <th>watercress</th>\n",
" <th>watermelon</th>\n",
" <th>wheat</th>\n",
" <th>wheat_bread</th>\n",
" <th>whiskey</th>\n",
" <th>white_bread</th>\n",
" <th>white_wine</th>\n",
" <th>whole_grain_wheat_flour</th>\n",
" <th>wine</th>\n",
" <th>wood</th>\n",
" <th>yam</th>\n",
" <th>yeast</th>\n",
" <th>yogurt</th>\n",
" <th>zucchini</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>vietnamese</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>vietnamese</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>vietnamese</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>vietnamese</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>vietnamese</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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],
"text/plain": [
" cuisine almond angelica anise anise_seed apple apple_brandy \\\n",
"0 vietnamese 0 0 0 0 0 0 \n",
"1 vietnamese 0 0 0 0 0 0 \n",
"2 vietnamese 0 0 0 0 0 0 \n",
"3 vietnamese 0 0 0 0 0 0 \n",
"4 vietnamese 0 0 0 0 0 0 \n",
"\n",
" apricot armagnac artemisia artichoke asparagus avocado bacon \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
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"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" baked_potato balm banana barley bartlett_pear basil bay bean beech \\\n",
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"\n",
" beef beef_broth beef_liver beer beet bell_pepper bergamot berry \\\n",
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" bitter_orange black_bean black_currant black_mustard_seed_oil \\\n",
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"\n",
" black_pepper black_raspberry black_sesame_seed black_tea blackberry \\\n",
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" blackberry_brandy blue_cheese blueberry bone_oil bourbon_whiskey \\\n",
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" butter buttermilk cabbage cabernet_sauvignon_wine cacao \\\n",
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" camembert_cheese cane_molasses caraway cardamom carnation carob \\\n",
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" carrot cashew cassava catfish cauliflower caviar cayenne celery \\\n",
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"\n",
" celery_oil cereal chamomile champagne_wine chayote cheddar_cheese \\\n",
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" cheese cherry cherry_brandy chervil chicken chicken_broth \\\n",
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" chicken_liver chickpea chicory chinese_cabbage chive cider cilantro \\\n",
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"\n",
" cinnamon citrus citrus_peel clam clove cocoa coconut coconut_oil \\\n",
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"\n",
" corn_grit cottage_cheese crab cranberry cream cream_cheese cucumber \\\n",
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" cumin cured_pork currant date dill durian eel egg egg_noodle \\\n",
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"\n",
" elderberry emmental_cheese endive enokidake fennel fenugreek \\\n",
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" feta_cheese fig fish flower frankfurter fruit galanga gardenia \\\n",
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"\n",
" garlic gelatin geranium gin ginger goat_cheese grape grape_brandy \\\n",
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"\n",
" grape_juice grapefruit green_bell_pepper green_tea gruyere_cheese \\\n",
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"\n",
" guava haddock ham hazelnut herring holy_basil honey hop \\\n",
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"\n",
" horseradish huckleberry jamaican_rum japanese_plum jasmine \\\n",
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"2 0 0 0 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" jasmine_tea juniper_berry kaffir_lime kale katsuobushi kelp \\\n",
"0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 \n",
"\n",
" kidney_bean kiwi kohlrabi kumquat lamb lard laurel lavender leaf \\\n",
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"3 0 0 0 0 0 0 0 0 0 \n",
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"\n",
" leek lemon lemon_juice lemon_peel lemongrass lentil lettuce \\\n",
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"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 1 0 0 0 0 0 \n",
"\n",
" licorice lilac_flower_oil lima_bean lime lime_juice lime_peel_oil \\\n",
"0 0 0 0 0 1 0 \n",
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"2 0 0 0 0 1 0 \n",
"3 0 0 0 1 1 0 \n",
"4 0 0 0 0 1 0 \n",
"\n",
" lingonberry litchi liver lobster long_pepper lovage macadamia_nut \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" macaroni mace mackerel malt mandarin mandarin_peel mango \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" maple_syrup marjoram mate matsutake meat melon milk milk_fat mint \\\n",
"0 0 0 0 0 0 0 0 0 1 \n",
"1 0 0 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 0 1 \n",
"4 0 0 0 0 0 0 0 0 1 \n",
"\n",
" mozzarella_cheese mung_bean munster_cheese muscat_grape mushroom \\\n",
"0 0 0 0 0 0 \n",
"1 0 0 0 0 0 \n",
"2 0 0 0 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" mussel mustard mutton nectarine nira nut nutmeg oat oatmeal \\\n",
"0 0 0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 0 0 \n",
"\n",
" octopus okra olive olive_oil onion orange orange_flower \\\n",
"0 0 0 0 1 0 0 0 \n",
"1 0 0 0 0 1 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" orange_juice orange_peel oregano ouzo oyster palm papaya \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" parmesan_cheese parsley parsnip passion_fruit pea peach peanut \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 1 0 0 \n",
"4 0 0 0 0 0 0 1 \n",
"\n",
" peanut_butter peanut_oil pear pear_brandy pecan pelargonium pepper \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" peppermint peppermint_oil pimenta pimento pineapple pistachio plum \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" popcorn porcini pork pork_liver pork_sausage port_wine potato \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" potato_chip prawn prickly_pear provolone_cheese pumpkin quince \\\n",
"0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 \n",
"\n",
" radish raisin rapeseed raspberry raw_beef red_algae red_bean \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" red_kidney_bean red_wine rhubarb rice roasted_almond roasted_beef \\\n",
"0 0 0 0 1 0 0 \n",
"1 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 \n",
"3 0 0 0 1 0 1 \n",
"4 0 0 0 1 0 0 \n",
"\n",
" roasted_hazelnut roasted_meat roasted_nut roasted_peanut roasted_pecan \\\n",
"0 0 0 0 0 0 \n",
"1 0 0 0 0 0 \n",
"2 0 0 0 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" roasted_pork roasted_sesame_seed romano_cheese root roquefort_cheese \\\n",
"0 0 0 0 0 0 \n",
"1 0 0 0 0 0 \n",
"2 0 0 0 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" rose rosemary rum rutabaga rye_bread rye_flour saffron sage sake \\\n",
"0 0 0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 0 0 \n",
"\n",
" salmon salmon_roe sassafras sauerkraut savory scallion scallop \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 1 0 \n",
"\n",
" sea_algae seaweed seed sesame_oil sesame_seed shallot sheep_cheese \\\n",
"0 0 0 1 0 0 0 0 \n",
"1 0 0 1 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 1 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" shellfish sherry shiitake shrimp smoke smoked_fish smoked_salmon \\\n",
"0 0 0 1 1 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 1 0 0 0 \n",
"\n",
" smoked_sausage sour_cherry sour_milk soy_sauce soybean soybean_oil \\\n",
"0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 \n",
"2 0 0 0 1 0 0 \n",
"3 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 \n",
"\n",
" spearmint squash squid star_anise starch strawberry strawberry_jam \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" strawberry_juice sturgeon_caviar sumac sunflower_oil sweet_potato \\\n",
"0 0 0 0 0 0 \n",
"1 0 0 0 0 0 \n",
"2 0 0 0 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" swiss_cheese tabasco_pepper tamarind tangerine tarragon tea tequila \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" thai_pepper thyme tomato tomato_juice truffle tuna turkey turmeric \\\n",
"0 0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 0 \n",
"2 1 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 0 \n",
"\n",
" turnip vanilla veal vegetable vegetable_oil vinegar violet walnut \\\n",
"0 0 0 0 0 0 1 0 0 \n",
"1 0 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 1 0 0 0 \n",
"4 0 0 0 0 0 1 0 0 \n",
"\n",
" wasabi watercress watermelon wheat wheat_bread whiskey white_bread \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" white_wine whole_grain_wheat_flour wine wood yam yeast yogurt \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" zucchini \n",
"0 0 \n",
"1 0 \n",
"2 0 \n",
"3 0 \n",
"4 0 "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"recipes.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"## [bamboo_tree] Only Asian and Indian Cuisines\n",
"\n",
"Here, we are creating a decision tree for the recipes for just some of the Asian (Korean, Japanese, Chinese, Thai) and Indian cuisines. The reason for this is because the decision tree does not run well when the data is biased towards one cuisine, in this case American cuisines. One option is to exclude the American cuisines from our analysis or just build decision trees for different subsets of the data. Let's go with the latter solution."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" cuisine almond angelica anise anise_seed apple apple_brandy \\\n",
"65 indian 0 0 0 0 0 0 \n",
"66 indian 1 0 0 0 0 0 \n",
"67 indian 0 0 0 0 0 0 \n",
"68 indian 0 0 0 0 0 0 \n",
"69 indian 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 japanese 0 0 0 0 0 0 \n",
"57687 japanese 0 0 0 0 0 0 \n",
"57688 japanese 0 0 0 0 0 0 \n",
"57689 japanese 0 0 0 0 0 0 \n",
"57690 japanese 0 0 0 0 0 0 \n",
"\n",
" apricot armagnac artemisia artichoke asparagus avocado bacon \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 1 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" baked_potato balm banana barley bartlett_pear basil bay bean \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
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"... ... ... ... ... ... ... ... ... \n",
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"57688 0 0 0 1 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 1 0 0 0 0 \n",
"\n",
" beech beef beef_broth beef_liver beer beet bell_pepper bergamot \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 0 \n",
"\n",
" berry bitter_orange black_bean black_currant \\\n",
"65 0 0 0 0 \n",
"66 0 0 0 0 \n",
"67 0 0 0 0 \n",
"68 0 0 0 0 \n",
"69 0 0 0 0 \n",
"... ... ... ... ... \n",
"57686 0 0 0 0 \n",
"57687 0 0 0 0 \n",
"57688 0 0 0 0 \n",
"57689 0 0 0 0 \n",
"57690 0 0 0 0 \n",
"\n",
" black_mustard_seed_oil black_pepper black_raspberry \\\n",
"65 1 0 0 \n",
"66 0 0 0 \n",
"67 0 0 0 \n",
"68 1 0 0 \n",
"69 0 1 0 \n",
"... ... ... ... \n",
"57686 0 0 0 \n",
"57687 0 0 0 \n",
"57688 0 0 0 \n",
"57689 0 0 0 \n",
"57690 0 0 0 \n",
"\n",
" black_sesame_seed black_tea blackberry blackberry_brandy \\\n",
"65 0 0 0 0 \n",
"66 0 0 0 0 \n",
"67 0 0 0 0 \n",
"68 0 0 0 0 \n",
"69 0 0 0 0 \n",
"... ... ... ... ... \n",
"57686 0 0 0 0 \n",
"57687 0 0 0 0 \n",
"57688 0 0 0 0 \n",
"57689 0 0 0 0 \n",
"57690 0 0 0 0 \n",
"\n",
" blue_cheese blueberry bone_oil bourbon_whiskey brandy brassica \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" bread broccoli brown_rice brussels_sprout buckwheat butter \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 1 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 1 \n",
"69 0 0 0 0 0 1 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" buttermilk cabbage cabernet_sauvignon_wine cacao camembert_cheese \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
"57686 0 0 0 0 0 \n",
"57687 0 0 0 0 0 \n",
"57688 0 0 0 0 0 \n",
"57689 0 1 0 0 0 \n",
"57690 0 0 0 0 0 \n",
"\n",
" cane_molasses caraway cardamom carnation carob carrot cashew \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 1 0 0 0 1 \n",
"67 0 0 1 0 0 0 0 \n",
"68 0 0 0 0 0 1 0 \n",
"69 0 0 1 0 0 0 1 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" cassava catfish cauliflower caviar cayenne celery celery_oil \\\n",
"65 0 0 0 0 1 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 1 0 0 \n",
"69 0 0 0 0 1 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" cereal chamomile champagne_wine chayote cheddar_cheese cheese \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" cherry cherry_brandy chervil chicken chicken_broth chicken_liver \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 1 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 1 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" chickpea chicory chinese_cabbage chive cider cilantro cinnamon \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 1 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 1 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 1 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" citrus citrus_peel clam clove cocoa coconut coconut_oil cod \\\n",
"65 0 0 0 0 0 1 1 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 1 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 0 \n",
"\n",
" coffee cognac concord_grape condiment coriander corn corn_flake \\\n",
"65 0 0 0 0 1 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 1 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" corn_grit cottage_cheese crab cranberry cream cream_cheese \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 1 1 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" cucumber cumin cured_pork currant date dill durian eel egg \\\n",
"65 0 1 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 0 \n",
"69 0 1 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... ... \n",
"57686 1 0 0 0 0 0 0 0 1 \n",
"57687 0 0 0 0 0 0 0 0 1 \n",
"57688 0 0 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 1 \n",
"57690 0 0 0 0 0 0 0 0 1 \n",
"\n",
" egg_noodle elderberry emmental_cheese endive enokidake fennel \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" fenugreek feta_cheese fig fish flower frankfurter fruit galanga \\\n",
"65 1 0 0 1 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 1 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 0 \n",
"57688 0 0 0 1 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 0 \n",
"\n",
" gardenia garlic gelatin geranium gin ginger goat_cheese grape \\\n",
"65 0 1 0 0 0 1 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 1 0 0 0 1 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 0 \n",
"57688 0 1 0 0 0 1 0 0 \n",
"57689 0 0 0 0 0 1 0 0 \n",
"57690 0 0 0 0 0 0 0 0 \n",
"\n",
" grape_brandy grape_juice grapefruit green_bell_pepper green_tea \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
"57686 0 0 0 0 0 \n",
"57687 0 0 0 0 0 \n",
"57688 0 0 0 0 0 \n",
"57689 0 0 0 0 0 \n",
"57690 0 0 0 0 0 \n",
"\n",
" gruyere_cheese guava haddock ham hazelnut herring holy_basil \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" honey hop horseradish huckleberry jamaican_rum japanese_plum \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" jasmine jasmine_tea juniper_berry kaffir_lime kale katsuobushi \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" kelp kidney_bean kiwi kohlrabi kumquat lamb lard laurel \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 0 \n",
"\n",
" lavender leaf leek lemon lemon_juice lemon_peel lemongrass \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 1 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 1 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" lentil lettuce licorice lilac_flower_oil lima_bean lime \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" lime_juice lime_peel_oil lingonberry litchi liver lobster \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 1 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" long_pepper lovage macadamia_nut macaroni mace mackerel malt \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" mandarin mandarin_peel mango maple_syrup marjoram mate matsutake \\\n",
"65 0 0 1 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" meat melon milk milk_fat mint mozzarella_cheese mung_bean \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 1 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 1 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 1 0 0 0 0 \n",
"\n",
" munster_cheese muscat_grape mushroom mussel mustard mutton \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 1 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" nectarine nira nut nutmeg oat oatmeal octopus okra olive \\\n",
"65 0 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 1 0 \n",
"69 0 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 0 \n",
"57687 0 0 1 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 0 0 \n",
"\n",
" olive_oil onion orange orange_flower orange_juice orange_peel \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 1 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 1 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 1 0 0 0 0 \n",
"\n",
" oregano ouzo oyster palm papaya parmesan_cheese parsley parsnip \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 1 0 \n",
"57687 0 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 0 \n",
"\n",
" passion_fruit pea peach peanut peanut_butter peanut_oil pear \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" pear_brandy pecan pelargonium pepper peppermint peppermint_oil \\\n",
"65 0 0 0 1 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 1 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 1 0 0 \n",
"\n",
" pimenta pimento pineapple pistachio plum popcorn porcini pork \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 1 \n",
"57688 0 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 0 \n",
"\n",
" pork_liver pork_sausage port_wine potato potato_chip prawn \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" prickly_pear provolone_cheese pumpkin quince radish raisin \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 1 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 1 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" rapeseed raspberry raw_beef red_algae red_bean red_kidney_bean \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" red_wine rhubarb rice roasted_almond roasted_beef \\\n",
"65 0 0 1 0 0 \n",
"66 0 0 1 0 0 \n",
"67 0 0 1 0 0 \n",
"68 0 0 1 0 0 \n",
"69 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
"57686 0 0 0 0 0 \n",
"57687 0 0 0 0 0 \n",
"57688 0 0 1 0 0 \n",
"57689 0 0 0 0 0 \n",
"57690 0 0 1 0 0 \n",
"\n",
" roasted_hazelnut roasted_meat roasted_nut roasted_peanut \\\n",
"65 0 0 0 0 \n",
"66 0 0 0 0 \n",
"67 0 0 0 0 \n",
"68 0 0 0 0 \n",
"69 0 0 0 0 \n",
"... ... ... ... ... \n",
"57686 0 0 0 0 \n",
"57687 0 0 0 0 \n",
"57688 0 0 0 0 \n",
"57689 0 0 0 0 \n",
"57690 0 0 0 0 \n",
"\n",
" roasted_pecan roasted_pork roasted_sesame_seed romano_cheese root \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
"57686 0 0 0 0 0 \n",
"57687 0 0 0 0 0 \n",
"57688 0 0 0 0 0 \n",
"57689 0 0 0 0 0 \n",
"57690 0 0 0 0 0 \n",
"\n",
" roquefort_cheese rose rosemary rum rutabaga rye_bread rye_flour \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" saffron sage sake salmon salmon_roe sassafras sauerkraut savory \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 1 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 1 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 0 \n",
"57688 0 0 1 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 0 \n",
"\n",
" scallion scallop sea_algae seaweed seed sesame_oil sesame_seed \\\n",
"65 0 0 0 0 1 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 1 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 1 0 0 1 0 1 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 1 \n",
"\n",
" shallot sheep_cheese shellfish sherry shiitake shrimp smoke \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 1 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" smoked_fish smoked_salmon smoked_sausage sour_cherry sour_milk \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
"57686 0 0 0 0 0 \n",
"57687 0 0 0 0 0 \n",
"57688 0 0 0 0 0 \n",
"57689 0 0 0 0 0 \n",
"57690 0 0 0 0 0 \n",
"\n",
" soy_sauce soybean soybean_oil spearmint squash squid star_anise \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 1 1 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 1 1 0 0 0 0 0 \n",
"\n",
" starch strawberry strawberry_jam strawberry_juice sturgeon_caviar \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
"57686 1 0 0 0 0 \n",
"57687 0 0 0 0 0 \n",
"57688 0 0 0 0 0 \n",
"57689 0 0 0 0 0 \n",
"57690 0 0 0 0 0 \n",
"\n",
" sumac sunflower_oil sweet_potato swiss_cheese tabasco_pepper \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
"57686 0 0 0 0 0 \n",
"57687 0 0 0 0 0 \n",
"57688 0 0 0 0 0 \n",
"57689 0 0 0 0 0 \n",
"57690 0 0 0 0 0 \n",
"\n",
" tamarind tangerine tarragon tea tequila thai_pepper thyme \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" tomato tomato_juice truffle tuna turkey turmeric turnip vanilla \\\n",
"65 1 0 0 0 0 1 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 1 0 0 0 0 1 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 1 0 0 0 0 \n",
"\n",
" veal vegetable vegetable_oil vinegar violet walnut wasabi \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 1 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 1 1 0 0 0 \n",
"57689 0 0 0 1 0 0 0 \n",
"57690 0 0 1 0 0 0 1 \n",
"\n",
" watercress watermelon wheat wheat_bread whiskey white_bread \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 1 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 1 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 1 0 0 0 \n",
"57690 0 0 1 0 0 0 \n",
"\n",
" white_wine whole_grain_wheat_flour wine wood yam yeast yogurt \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 1 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" zucchini \n",
"65 0 \n",
"66 0 \n",
"67 0 \n",
"68 0 \n",
"69 0 \n",
"... ... \n",
"57686 0 \n",
"57687 0 \n",
"57688 0 \n",
"57689 0 \n",
"57690 0 \n",
"\n",
"[2448 rows x 384 columns]\n"
]
}
],
"source": [
"asian_indian_recipes = recipes[recipes.cuisine.isin([\"korean\", \"japanese\", \"chinese\", \"thai\", \"indian\"])]\n",
"print(asian_indian_recipes)"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Let's build our decision tree using the data pertaining to the Asian and Indian cuisines and name our decision tree *bamboo_tree*."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
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" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>almond</th>\n",
" <th>angelica</th>\n",
" <th>anise</th>\n",
" <th>anise_seed</th>\n",
" <th>apple</th>\n",
" <th>apple_brandy</th>\n",
" <th>apricot</th>\n",
" <th>armagnac</th>\n",
" <th>artemisia</th>\n",
" <th>artichoke</th>\n",
" <th>asparagus</th>\n",
" <th>avocado</th>\n",
" <th>bacon</th>\n",
" <th>baked_potato</th>\n",
" <th>balm</th>\n",
" <th>banana</th>\n",
" <th>barley</th>\n",
" <th>bartlett_pear</th>\n",
" <th>basil</th>\n",
" <th>bay</th>\n",
" <th>bean</th>\n",
" <th>beech</th>\n",
" <th>beef</th>\n",
" <th>beef_broth</th>\n",
" <th>beef_liver</th>\n",
" <th>beer</th>\n",
" <th>beet</th>\n",
" <th>bell_pepper</th>\n",
" <th>bergamot</th>\n",
" <th>berry</th>\n",
" <th>bitter_orange</th>\n",
" <th>black_bean</th>\n",
" <th>black_currant</th>\n",
" <th>black_mustard_seed_oil</th>\n",
" <th>black_pepper</th>\n",
" <th>black_raspberry</th>\n",
" <th>black_sesame_seed</th>\n",
" <th>black_tea</th>\n",
" <th>blackberry</th>\n",
" <th>blackberry_brandy</th>\n",
" <th>blue_cheese</th>\n",
" <th>blueberry</th>\n",
" <th>bone_oil</th>\n",
" <th>bourbon_whiskey</th>\n",
" <th>brandy</th>\n",
" <th>brassica</th>\n",
" <th>bread</th>\n",
" <th>broccoli</th>\n",
" <th>brown_rice</th>\n",
" <th>brussels_sprout</th>\n",
" <th>buckwheat</th>\n",
" <th>butter</th>\n",
" <th>buttermilk</th>\n",
" <th>cabbage</th>\n",
" <th>cabernet_sauvignon_wine</th>\n",
" <th>cacao</th>\n",
" <th>camembert_cheese</th>\n",
" <th>cane_molasses</th>\n",
" <th>caraway</th>\n",
" <th>cardamom</th>\n",
" <th>carnation</th>\n",
" <th>carob</th>\n",
" <th>carrot</th>\n",
" <th>cashew</th>\n",
" <th>cassava</th>\n",
" <th>catfish</th>\n",
" <th>cauliflower</th>\n",
" <th>caviar</th>\n",
" <th>cayenne</th>\n",
" <th>celery</th>\n",
" <th>celery_oil</th>\n",
" <th>cereal</th>\n",
" <th>chamomile</th>\n",
" <th>champagne_wine</th>\n",
" <th>chayote</th>\n",
" <th>cheddar_cheese</th>\n",
" <th>cheese</th>\n",
" <th>cherry</th>\n",
" <th>cherry_brandy</th>\n",
" <th>chervil</th>\n",
" <th>chicken</th>\n",
" <th>chicken_broth</th>\n",
" <th>chicken_liver</th>\n",
" <th>chickpea</th>\n",
" <th>chicory</th>\n",
" <th>chinese_cabbage</th>\n",
" <th>chive</th>\n",
" <th>cider</th>\n",
" <th>cilantro</th>\n",
" <th>cinnamon</th>\n",
" <th>citrus</th>\n",
" <th>citrus_peel</th>\n",
" <th>clam</th>\n",
" <th>clove</th>\n",
" <th>cocoa</th>\n",
" <th>coconut</th>\n",
" <th>coconut_oil</th>\n",
" <th>cod</th>\n",
" <th>coffee</th>\n",
" <th>cognac</th>\n",
" <th>concord_grape</th>\n",
" <th>condiment</th>\n",
" <th>coriander</th>\n",
" <th>corn</th>\n",
" <th>corn_flake</th>\n",
" <th>corn_grit</th>\n",
" <th>cottage_cheese</th>\n",
" <th>crab</th>\n",
" <th>cranberry</th>\n",
" <th>cream</th>\n",
" <th>cream_cheese</th>\n",
" <th>cucumber</th>\n",
" <th>cumin</th>\n",
" <th>cured_pork</th>\n",
" <th>currant</th>\n",
" <th>date</th>\n",
" <th>dill</th>\n",
" <th>durian</th>\n",
" <th>eel</th>\n",
" <th>egg</th>\n",
" <th>egg_noodle</th>\n",
" <th>elderberry</th>\n",
" <th>emmental_cheese</th>\n",
" <th>endive</th>\n",
" <th>enokidake</th>\n",
" <th>fennel</th>\n",
" <th>fenugreek</th>\n",
" <th>feta_cheese</th>\n",
" <th>fig</th>\n",
" <th>fish</th>\n",
" <th>flower</th>\n",
" <th>frankfurter</th>\n",
" <th>fruit</th>\n",
" <th>galanga</th>\n",
" <th>gardenia</th>\n",
" <th>garlic</th>\n",
" <th>gelatin</th>\n",
" <th>geranium</th>\n",
" <th>gin</th>\n",
" <th>ginger</th>\n",
" <th>goat_cheese</th>\n",
" <th>grape</th>\n",
" <th>grape_brandy</th>\n",
" <th>grape_juice</th>\n",
" <th>grapefruit</th>\n",
" <th>green_bell_pepper</th>\n",
" <th>green_tea</th>\n",
" <th>gruyere_cheese</th>\n",
" <th>guava</th>\n",
" <th>haddock</th>\n",
" <th>ham</th>\n",
" <th>hazelnut</th>\n",
" <th>herring</th>\n",
" <th>holy_basil</th>\n",
" <th>honey</th>\n",
" <th>hop</th>\n",
" <th>horseradish</th>\n",
" <th>huckleberry</th>\n",
" <th>jamaican_rum</th>\n",
" <th>japanese_plum</th>\n",
" <th>jasmine</th>\n",
" <th>jasmine_tea</th>\n",
" <th>juniper_berry</th>\n",
" <th>kaffir_lime</th>\n",
" <th>kale</th>\n",
" <th>katsuobushi</th>\n",
" <th>kelp</th>\n",
" <th>kidney_bean</th>\n",
" <th>kiwi</th>\n",
" <th>kohlrabi</th>\n",
" <th>kumquat</th>\n",
" <th>lamb</th>\n",
" <th>lard</th>\n",
" <th>laurel</th>\n",
" <th>lavender</th>\n",
" <th>leaf</th>\n",
" <th>leek</th>\n",
" <th>lemon</th>\n",
" <th>lemon_juice</th>\n",
" <th>lemon_peel</th>\n",
" <th>lemongrass</th>\n",
" <th>lentil</th>\n",
" <th>lettuce</th>\n",
" <th>licorice</th>\n",
" <th>lilac_flower_oil</th>\n",
" <th>lima_bean</th>\n",
" <th>lime</th>\n",
" <th>lime_juice</th>\n",
" <th>lime_peel_oil</th>\n",
" <th>lingonberry</th>\n",
" <th>litchi</th>\n",
" <th>liver</th>\n",
" <th>lobster</th>\n",
" <th>long_pepper</th>\n",
" <th>lovage</th>\n",
" <th>macadamia_nut</th>\n",
" <th>macaroni</th>\n",
" <th>mace</th>\n",
" <th>mackerel</th>\n",
" <th>malt</th>\n",
" <th>mandarin</th>\n",
" <th>mandarin_peel</th>\n",
" <th>mango</th>\n",
" <th>maple_syrup</th>\n",
" <th>marjoram</th>\n",
" <th>mate</th>\n",
" <th>matsutake</th>\n",
" <th>meat</th>\n",
" <th>melon</th>\n",
" <th>milk</th>\n",
" <th>milk_fat</th>\n",
" <th>mint</th>\n",
" <th>mozzarella_cheese</th>\n",
" <th>mung_bean</th>\n",
" <th>munster_cheese</th>\n",
" <th>muscat_grape</th>\n",
" <th>mushroom</th>\n",
" <th>mussel</th>\n",
" <th>mustard</th>\n",
" <th>mutton</th>\n",
" <th>nectarine</th>\n",
" <th>nira</th>\n",
" <th>nut</th>\n",
" <th>nutmeg</th>\n",
" <th>oat</th>\n",
" <th>oatmeal</th>\n",
" <th>octopus</th>\n",
" <th>okra</th>\n",
" <th>olive</th>\n",
" <th>olive_oil</th>\n",
" <th>onion</th>\n",
" <th>orange</th>\n",
" <th>orange_flower</th>\n",
" <th>orange_juice</th>\n",
" <th>orange_peel</th>\n",
" <th>oregano</th>\n",
" <th>ouzo</th>\n",
" <th>oyster</th>\n",
" <th>palm</th>\n",
" <th>papaya</th>\n",
" <th>parmesan_cheese</th>\n",
" <th>parsley</th>\n",
" <th>parsnip</th>\n",
" <th>passion_fruit</th>\n",
" <th>pea</th>\n",
" <th>peach</th>\n",
" <th>peanut</th>\n",
" <th>peanut_butter</th>\n",
" <th>peanut_oil</th>\n",
" <th>pear</th>\n",
" <th>pear_brandy</th>\n",
" <th>pecan</th>\n",
" <th>pelargonium</th>\n",
" <th>pepper</th>\n",
" <th>peppermint</th>\n",
" <th>peppermint_oil</th>\n",
" <th>pimenta</th>\n",
" <th>pimento</th>\n",
" <th>pineapple</th>\n",
" <th>pistachio</th>\n",
" <th>plum</th>\n",
" <th>popcorn</th>\n",
" <th>porcini</th>\n",
" <th>pork</th>\n",
" <th>pork_liver</th>\n",
" <th>pork_sausage</th>\n",
" <th>port_wine</th>\n",
" <th>potato</th>\n",
" <th>potato_chip</th>\n",
" <th>prawn</th>\n",
" <th>prickly_pear</th>\n",
" <th>provolone_cheese</th>\n",
" <th>pumpkin</th>\n",
" <th>quince</th>\n",
" <th>radish</th>\n",
" <th>raisin</th>\n",
" <th>rapeseed</th>\n",
" <th>raspberry</th>\n",
" <th>raw_beef</th>\n",
" <th>red_algae</th>\n",
" <th>red_bean</th>\n",
" <th>red_kidney_bean</th>\n",
" <th>red_wine</th>\n",
" <th>rhubarb</th>\n",
" <th>rice</th>\n",
" <th>roasted_almond</th>\n",
" <th>roasted_beef</th>\n",
" <th>roasted_hazelnut</th>\n",
" <th>roasted_meat</th>\n",
" <th>roasted_nut</th>\n",
" <th>roasted_peanut</th>\n",
" <th>roasted_pecan</th>\n",
" <th>roasted_pork</th>\n",
" <th>roasted_sesame_seed</th>\n",
" <th>romano_cheese</th>\n",
" <th>root</th>\n",
" <th>roquefort_cheese</th>\n",
" <th>rose</th>\n",
" <th>rosemary</th>\n",
" <th>rum</th>\n",
" <th>rutabaga</th>\n",
" <th>rye_bread</th>\n",
" <th>rye_flour</th>\n",
" <th>saffron</th>\n",
" <th>sage</th>\n",
" <th>sake</th>\n",
" <th>salmon</th>\n",
" <th>salmon_roe</th>\n",
" <th>sassafras</th>\n",
" <th>sauerkraut</th>\n",
" <th>savory</th>\n",
" <th>scallion</th>\n",
" <th>scallop</th>\n",
" <th>sea_algae</th>\n",
" <th>seaweed</th>\n",
" <th>seed</th>\n",
" <th>sesame_oil</th>\n",
" <th>sesame_seed</th>\n",
" <th>shallot</th>\n",
" <th>sheep_cheese</th>\n",
" <th>shellfish</th>\n",
" <th>sherry</th>\n",
" <th>shiitake</th>\n",
" <th>shrimp</th>\n",
" <th>smoke</th>\n",
" <th>smoked_fish</th>\n",
" <th>smoked_salmon</th>\n",
" <th>smoked_sausage</th>\n",
" <th>sour_cherry</th>\n",
" <th>sour_milk</th>\n",
" <th>soy_sauce</th>\n",
" <th>soybean</th>\n",
" <th>soybean_oil</th>\n",
" <th>spearmint</th>\n",
" <th>squash</th>\n",
" <th>squid</th>\n",
" <th>star_anise</th>\n",
" <th>starch</th>\n",
" <th>strawberry</th>\n",
" <th>strawberry_jam</th>\n",
" <th>strawberry_juice</th>\n",
" <th>sturgeon_caviar</th>\n",
" <th>sumac</th>\n",
" <th>sunflower_oil</th>\n",
" <th>sweet_potato</th>\n",
" <th>swiss_cheese</th>\n",
" <th>tabasco_pepper</th>\n",
" <th>tamarind</th>\n",
" <th>tangerine</th>\n",
" <th>tarragon</th>\n",
" <th>tea</th>\n",
" <th>tequila</th>\n",
" <th>thai_pepper</th>\n",
" <th>thyme</th>\n",
" <th>tomato</th>\n",
" <th>tomato_juice</th>\n",
" <th>truffle</th>\n",
" <th>tuna</th>\n",
" <th>turkey</th>\n",
" <th>turmeric</th>\n",
" <th>turnip</th>\n",
" <th>vanilla</th>\n",
" <th>veal</th>\n",
" <th>vegetable</th>\n",
" <th>vegetable_oil</th>\n",
" <th>vinegar</th>\n",
" <th>violet</th>\n",
" <th>walnut</th>\n",
" <th>wasabi</th>\n",
" <th>watercress</th>\n",
" <th>watermelon</th>\n",
" <th>wheat</th>\n",
" <th>wheat_bread</th>\n",
" <th>whiskey</th>\n",
" <th>white_bread</th>\n",
" <th>white_wine</th>\n",
" <th>whole_grain_wheat_flour</th>\n",
" <th>wine</th>\n",
" <th>wood</th>\n",
" <th>yam</th>\n",
" <th>yeast</th>\n",
" <th>yogurt</th>\n",
" <th>zucchini</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>65</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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],
"text/plain": [
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" armagnac artemisia artichoke asparagus avocado bacon baked_potato \\\n",
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"\n",
" cinnamon citrus citrus_peel clam clove cocoa coconut coconut_oil \\\n",
"65 0 0 0 0 0 0 1 1 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 1 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 1 0 \n",
"69 1 0 0 0 0 0 0 0 \n",
"\n",
" cod coffee cognac concord_grape condiment coriander corn \\\n",
"65 0 0 0 0 0 1 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" corn_flake corn_grit cottage_cheese crab cranberry cream \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"\n",
" cream_cheese cucumber cumin cured_pork currant date dill durian \\\n",
"65 0 0 1 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
"69 0 0 1 0 0 0 0 0 \n",
"\n",
" eel egg egg_noodle elderberry emmental_cheese endive enokidake \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" fennel fenugreek feta_cheese fig fish flower frankfurter fruit \\\n",
"65 0 1 0 0 1 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 1 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"\n",
" galanga gardenia garlic gelatin geranium gin ginger goat_cheese \\\n",
"65 0 0 1 0 0 0 1 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 1 0 0 0 1 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"\n",
" grape grape_brandy grape_juice grapefruit green_bell_pepper \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"\n",
" green_tea gruyere_cheese guava haddock ham hazelnut herring \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" holy_basil honey hop horseradish huckleberry jamaican_rum \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"\n",
" japanese_plum jasmine jasmine_tea juniper_berry kaffir_lime kale \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"\n",
" katsuobushi kelp kidney_bean kiwi kohlrabi kumquat lamb lard \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"\n",
" laurel lavender leaf leek lemon lemon_juice lemon_peel lemongrass \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 1 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 1 0 0 \n",
"\n",
" lentil lettuce licorice lilac_flower_oil lima_bean lime lime_juice \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 1 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" lime_peel_oil lingonberry litchi liver lobster long_pepper lovage \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" macadamia_nut macaroni mace mackerel malt mandarin mandarin_peel \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" mango maple_syrup marjoram mate matsutake meat melon milk \\\n",
"65 1 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 1 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"\n",
" milk_fat mint mozzarella_cheese mung_bean munster_cheese \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"\n",
" muscat_grape mushroom mussel mustard mutton nectarine nira nut \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"\n",
" nutmeg oat oatmeal octopus okra olive olive_oil onion orange \\\n",
"65 0 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 1 0 0 1 0 \n",
"69 0 0 0 0 0 0 0 0 0 \n",
"\n",
" orange_flower orange_juice orange_peel oregano ouzo oyster palm \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" papaya parmesan_cheese parsley parsnip passion_fruit pea peach \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" peanut peanut_butter peanut_oil pear pear_brandy pecan pelargonium \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" pepper peppermint peppermint_oil pimenta pimento pineapple \\\n",
"65 1 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"\n",
" pistachio plum popcorn porcini pork pork_liver pork_sausage \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" port_wine potato potato_chip prawn prickly_pear provolone_cheese \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"\n",
" pumpkin quince radish raisin rapeseed raspberry raw_beef red_algae \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 1 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
"69 0 0 0 1 0 0 0 0 \n",
"\n",
" red_bean red_kidney_bean red_wine rhubarb rice roasted_almond \\\n",
"65 0 0 0 0 1 0 \n",
"66 0 0 0 0 1 0 \n",
"67 0 0 0 0 1 0 \n",
"68 0 0 0 0 1 0 \n",
"69 0 0 0 0 0 0 \n",
"\n",
" roasted_beef roasted_hazelnut roasted_meat roasted_nut roasted_peanut \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"\n",
" roasted_pecan roasted_pork roasted_sesame_seed romano_cheese root \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"\n",
" roquefort_cheese rose rosemary rum rutabaga rye_bread rye_flour \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" saffron sage sake salmon salmon_roe sassafras sauerkraut savory \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 1 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 1 \n",
"69 0 0 0 0 0 0 0 0 \n",
"\n",
" scallion scallop sea_algae seaweed seed sesame_oil sesame_seed \\\n",
"65 0 0 0 0 1 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 1 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" shallot sheep_cheese shellfish sherry shiitake shrimp smoke \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" smoked_fish smoked_salmon smoked_sausage sour_cherry sour_milk \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"\n",
" soy_sauce soybean soybean_oil spearmint squash squid star_anise \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" starch strawberry strawberry_jam strawberry_juice sturgeon_caviar \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"\n",
" sumac sunflower_oil sweet_potato swiss_cheese tabasco_pepper \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"\n",
" tamarind tangerine tarragon tea tequila thai_pepper thyme tomato \\\n",
"65 0 0 0 0 0 0 0 1 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 1 \n",
"69 0 0 0 0 0 0 0 0 \n",
"\n",
" tomato_juice truffle tuna turkey turmeric turnip vanilla veal \\\n",
"65 0 0 0 0 1 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 1 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"\n",
" vegetable vegetable_oil vinegar violet walnut wasabi watercress \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" watermelon wheat wheat_bread whiskey white_bread white_wine \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 1 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"\n",
" whole_grain_wheat_flour wine wood yam yeast yogurt zucchini \n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 1 0 "
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# select subset of cuisines\n",
"asian_indian_recipes = recipes[recipes.cuisine.isin([\"korean\", \"japanese\", \"chinese\", \"thai\", \"indian\"])]\n",
"cuisines = asian_indian_recipes[\"cuisine\"]\n",
"ingredients = asian_indian_recipes.iloc[:,1:]\n",
"ingredients.head()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"pandas.core.series.Series"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ingredients = asian_indian_recipes.iloc[0]\n",
"type(ingredients)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=3,\n",
" max_features=None, max_leaf_nodes=None,\n",
" min_impurity_decrease=0.0, min_impurity_split=None,\n",
" min_samples_leaf=1, min_samples_split=2,\n",
" min_weight_fraction_leaf=0.0, presort=False, random_state=None,\n",
" splitter='best')"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bamboo_tree = tree.DecisionTreeClassifier(max_depth=3)\n",
"bamboo_tree"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Decision tree model saved to bamboo_tree!\n"
]
},
{
"data": {
"text/plain": [
"DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=3,\n",
" max_features=None, max_leaf_nodes=None,\n",
" min_impurity_decrease=0.0, min_impurity_split=None,\n",
" min_samples_leaf=1, min_samples_split=2,\n",
" min_weight_fraction_leaf=0.0, presort=False, random_state=None,\n",
" splitter='best')"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bamboo_tree.fit(ingredients, cuisines)\n",
"\n",
"print(\"Decision tree model saved to bamboo_tree!\")\n",
"bamboo_tree"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>cuisine</th>\n",
" <th>almond</th>\n",
" <th>angelica</th>\n",
" <th>anise</th>\n",
" <th>anise_seed</th>\n",
" <th>apple</th>\n",
" <th>apple_brandy</th>\n",
" <th>apricot</th>\n",
" <th>armagnac</th>\n",
" <th>artemisia</th>\n",
" <th>artichoke</th>\n",
" <th>asparagus</th>\n",
" <th>avocado</th>\n",
" <th>bacon</th>\n",
" <th>baked_potato</th>\n",
" <th>balm</th>\n",
" <th>banana</th>\n",
" <th>barley</th>\n",
" <th>bartlett_pear</th>\n",
" <th>basil</th>\n",
" <th>bay</th>\n",
" <th>bean</th>\n",
" <th>beech</th>\n",
" <th>beef</th>\n",
" <th>beef_broth</th>\n",
" <th>beef_liver</th>\n",
" <th>beer</th>\n",
" <th>beet</th>\n",
" <th>bell_pepper</th>\n",
" <th>bergamot</th>\n",
" <th>berry</th>\n",
" <th>bitter_orange</th>\n",
" <th>black_bean</th>\n",
" <th>black_currant</th>\n",
" <th>black_mustard_seed_oil</th>\n",
" <th>black_pepper</th>\n",
" <th>black_raspberry</th>\n",
" <th>black_sesame_seed</th>\n",
" <th>black_tea</th>\n",
" <th>blackberry</th>\n",
" <th>blackberry_brandy</th>\n",
" <th>blue_cheese</th>\n",
" <th>blueberry</th>\n",
" <th>bone_oil</th>\n",
" <th>bourbon_whiskey</th>\n",
" <th>brandy</th>\n",
" <th>brassica</th>\n",
" <th>bread</th>\n",
" <th>broccoli</th>\n",
" <th>brown_rice</th>\n",
" <th>brussels_sprout</th>\n",
" <th>buckwheat</th>\n",
" <th>butter</th>\n",
" <th>buttermilk</th>\n",
" <th>cabbage</th>\n",
" <th>cabernet_sauvignon_wine</th>\n",
" <th>cacao</th>\n",
" <th>camembert_cheese</th>\n",
" <th>cane_molasses</th>\n",
" <th>caraway</th>\n",
" <th>cardamom</th>\n",
" <th>carnation</th>\n",
" <th>carob</th>\n",
" <th>carrot</th>\n",
" <th>cashew</th>\n",
" <th>cassava</th>\n",
" <th>catfish</th>\n",
" <th>cauliflower</th>\n",
" <th>caviar</th>\n",
" <th>cayenne</th>\n",
" <th>celery</th>\n",
" <th>celery_oil</th>\n",
" <th>cereal</th>\n",
" <th>chamomile</th>\n",
" <th>champagne_wine</th>\n",
" <th>chayote</th>\n",
" <th>cheddar_cheese</th>\n",
" <th>cheese</th>\n",
" <th>cherry</th>\n",
" <th>cherry_brandy</th>\n",
" <th>chervil</th>\n",
" <th>chicken</th>\n",
" <th>chicken_broth</th>\n",
" <th>chicken_liver</th>\n",
" <th>chickpea</th>\n",
" <th>chicory</th>\n",
" <th>chinese_cabbage</th>\n",
" <th>chive</th>\n",
" <th>cider</th>\n",
" <th>cilantro</th>\n",
" <th>cinnamon</th>\n",
" <th>citrus</th>\n",
" <th>citrus_peel</th>\n",
" <th>clam</th>\n",
" <th>clove</th>\n",
" <th>cocoa</th>\n",
" <th>coconut</th>\n",
" <th>coconut_oil</th>\n",
" <th>cod</th>\n",
" <th>coffee</th>\n",
" <th>cognac</th>\n",
" <th>concord_grape</th>\n",
" <th>condiment</th>\n",
" <th>coriander</th>\n",
" <th>corn</th>\n",
" <th>corn_flake</th>\n",
" <th>corn_grit</th>\n",
" <th>cottage_cheese</th>\n",
" <th>crab</th>\n",
" <th>cranberry</th>\n",
" <th>cream</th>\n",
" <th>cream_cheese</th>\n",
" <th>cucumber</th>\n",
" <th>cumin</th>\n",
" <th>cured_pork</th>\n",
" <th>currant</th>\n",
" <th>date</th>\n",
" <th>dill</th>\n",
" <th>durian</th>\n",
" <th>eel</th>\n",
" <th>egg</th>\n",
" <th>egg_noodle</th>\n",
" <th>elderberry</th>\n",
" <th>emmental_cheese</th>\n",
" <th>endive</th>\n",
" <th>enokidake</th>\n",
" <th>fennel</th>\n",
" <th>fenugreek</th>\n",
" <th>feta_cheese</th>\n",
" <th>fig</th>\n",
" <th>fish</th>\n",
" <th>flower</th>\n",
" <th>frankfurter</th>\n",
" <th>fruit</th>\n",
" <th>galanga</th>\n",
" <th>gardenia</th>\n",
" <th>garlic</th>\n",
" <th>gelatin</th>\n",
" <th>geranium</th>\n",
" <th>gin</th>\n",
" <th>ginger</th>\n",
" <th>goat_cheese</th>\n",
" <th>grape</th>\n",
" <th>grape_brandy</th>\n",
" <th>grape_juice</th>\n",
" <th>grapefruit</th>\n",
" <th>green_bell_pepper</th>\n",
" <th>green_tea</th>\n",
" <th>gruyere_cheese</th>\n",
" <th>guava</th>\n",
" <th>haddock</th>\n",
" <th>ham</th>\n",
" <th>hazelnut</th>\n",
" <th>herring</th>\n",
" <th>holy_basil</th>\n",
" <th>honey</th>\n",
" <th>hop</th>\n",
" <th>horseradish</th>\n",
" <th>huckleberry</th>\n",
" <th>jamaican_rum</th>\n",
" <th>japanese_plum</th>\n",
" <th>jasmine</th>\n",
" <th>jasmine_tea</th>\n",
" <th>juniper_berry</th>\n",
" <th>kaffir_lime</th>\n",
" <th>kale</th>\n",
" <th>katsuobushi</th>\n",
" <th>kelp</th>\n",
" <th>kidney_bean</th>\n",
" <th>kiwi</th>\n",
" <th>kohlrabi</th>\n",
" <th>kumquat</th>\n",
" <th>lamb</th>\n",
" <th>lard</th>\n",
" <th>laurel</th>\n",
" <th>lavender</th>\n",
" <th>leaf</th>\n",
" <th>leek</th>\n",
" <th>lemon</th>\n",
" <th>lemon_juice</th>\n",
" <th>lemon_peel</th>\n",
" <th>lemongrass</th>\n",
" <th>lentil</th>\n",
" <th>lettuce</th>\n",
" <th>licorice</th>\n",
" <th>lilac_flower_oil</th>\n",
" <th>lima_bean</th>\n",
" <th>lime</th>\n",
" <th>lime_juice</th>\n",
" <th>lime_peel_oil</th>\n",
" <th>lingonberry</th>\n",
" <th>litchi</th>\n",
" <th>liver</th>\n",
" <th>lobster</th>\n",
" <th>long_pepper</th>\n",
" <th>lovage</th>\n",
" <th>macadamia_nut</th>\n",
" <th>macaroni</th>\n",
" <th>mace</th>\n",
" <th>mackerel</th>\n",
" <th>malt</th>\n",
" <th>mandarin</th>\n",
" <th>mandarin_peel</th>\n",
" <th>mango</th>\n",
" <th>maple_syrup</th>\n",
" <th>marjoram</th>\n",
" <th>mate</th>\n",
" <th>matsutake</th>\n",
" <th>meat</th>\n",
" <th>melon</th>\n",
" <th>milk</th>\n",
" <th>milk_fat</th>\n",
" <th>mint</th>\n",
" <th>mozzarella_cheese</th>\n",
" <th>mung_bean</th>\n",
" <th>munster_cheese</th>\n",
" <th>muscat_grape</th>\n",
" <th>mushroom</th>\n",
" <th>mussel</th>\n",
" <th>mustard</th>\n",
" <th>mutton</th>\n",
" <th>nectarine</th>\n",
" <th>nira</th>\n",
" <th>nut</th>\n",
" <th>nutmeg</th>\n",
" <th>oat</th>\n",
" <th>oatmeal</th>\n",
" <th>octopus</th>\n",
" <th>okra</th>\n",
" <th>olive</th>\n",
" <th>olive_oil</th>\n",
" <th>onion</th>\n",
" <th>orange</th>\n",
" <th>orange_flower</th>\n",
" <th>orange_juice</th>\n",
" <th>orange_peel</th>\n",
" <th>oregano</th>\n",
" <th>ouzo</th>\n",
" <th>oyster</th>\n",
" <th>palm</th>\n",
" <th>papaya</th>\n",
" <th>parmesan_cheese</th>\n",
" <th>parsley</th>\n",
" <th>parsnip</th>\n",
" <th>passion_fruit</th>\n",
" <th>pea</th>\n",
" <th>peach</th>\n",
" <th>peanut</th>\n",
" <th>peanut_butter</th>\n",
" <th>peanut_oil</th>\n",
" <th>pear</th>\n",
" <th>pear_brandy</th>\n",
" <th>pecan</th>\n",
" <th>pelargonium</th>\n",
" <th>pepper</th>\n",
" <th>peppermint</th>\n",
" <th>peppermint_oil</th>\n",
" <th>pimenta</th>\n",
" <th>pimento</th>\n",
" <th>pineapple</th>\n",
" <th>pistachio</th>\n",
" <th>plum</th>\n",
" <th>popcorn</th>\n",
" <th>porcini</th>\n",
" <th>pork</th>\n",
" <th>pork_liver</th>\n",
" <th>pork_sausage</th>\n",
" <th>port_wine</th>\n",
" <th>potato</th>\n",
" <th>potato_chip</th>\n",
" <th>prawn</th>\n",
" <th>prickly_pear</th>\n",
" <th>provolone_cheese</th>\n",
" <th>pumpkin</th>\n",
" <th>quince</th>\n",
" <th>radish</th>\n",
" <th>raisin</th>\n",
" <th>rapeseed</th>\n",
" <th>raspberry</th>\n",
" <th>raw_beef</th>\n",
" <th>red_algae</th>\n",
" <th>red_bean</th>\n",
" <th>red_kidney_bean</th>\n",
" <th>red_wine</th>\n",
" <th>rhubarb</th>\n",
" <th>rice</th>\n",
" <th>roasted_almond</th>\n",
" <th>roasted_beef</th>\n",
" <th>roasted_hazelnut</th>\n",
" <th>roasted_meat</th>\n",
" <th>roasted_nut</th>\n",
" <th>roasted_peanut</th>\n",
" <th>roasted_pecan</th>\n",
" <th>roasted_pork</th>\n",
" <th>roasted_sesame_seed</th>\n",
" <th>romano_cheese</th>\n",
" <th>root</th>\n",
" <th>roquefort_cheese</th>\n",
" <th>rose</th>\n",
" <th>rosemary</th>\n",
" <th>rum</th>\n",
" <th>rutabaga</th>\n",
" <th>rye_bread</th>\n",
" <th>rye_flour</th>\n",
" <th>saffron</th>\n",
" <th>sage</th>\n",
" <th>sake</th>\n",
" <th>salmon</th>\n",
" <th>salmon_roe</th>\n",
" <th>sassafras</th>\n",
" <th>sauerkraut</th>\n",
" <th>savory</th>\n",
" <th>scallion</th>\n",
" <th>scallop</th>\n",
" <th>sea_algae</th>\n",
" <th>seaweed</th>\n",
" <th>seed</th>\n",
" <th>sesame_oil</th>\n",
" <th>sesame_seed</th>\n",
" <th>shallot</th>\n",
" <th>sheep_cheese</th>\n",
" <th>shellfish</th>\n",
" <th>sherry</th>\n",
" <th>shiitake</th>\n",
" <th>shrimp</th>\n",
" <th>smoke</th>\n",
" <th>smoked_fish</th>\n",
" <th>smoked_salmon</th>\n",
" <th>smoked_sausage</th>\n",
" <th>sour_cherry</th>\n",
" <th>sour_milk</th>\n",
" <th>soy_sauce</th>\n",
" <th>soybean</th>\n",
" <th>soybean_oil</th>\n",
" <th>spearmint</th>\n",
" <th>squash</th>\n",
" <th>squid</th>\n",
" <th>star_anise</th>\n",
" <th>starch</th>\n",
" <th>strawberry</th>\n",
" <th>strawberry_jam</th>\n",
" <th>strawberry_juice</th>\n",
" <th>sturgeon_caviar</th>\n",
" <th>sumac</th>\n",
" <th>sunflower_oil</th>\n",
" <th>sweet_potato</th>\n",
" <th>swiss_cheese</th>\n",
" <th>tabasco_pepper</th>\n",
" <th>tamarind</th>\n",
" <th>tangerine</th>\n",
" <th>tarragon</th>\n",
" <th>tea</th>\n",
" <th>tequila</th>\n",
" <th>thai_pepper</th>\n",
" <th>thyme</th>\n",
" <th>tomato</th>\n",
" <th>tomato_juice</th>\n",
" <th>truffle</th>\n",
" <th>tuna</th>\n",
" <th>turkey</th>\n",
" <th>turmeric</th>\n",
" <th>turnip</th>\n",
" <th>vanilla</th>\n",
" <th>veal</th>\n",
" <th>vegetable</th>\n",
" <th>vegetable_oil</th>\n",
" <th>vinegar</th>\n",
" <th>violet</th>\n",
" <th>walnut</th>\n",
" <th>wasabi</th>\n",
" <th>watercress</th>\n",
" <th>watermelon</th>\n",
" <th>wheat</th>\n",
" <th>wheat_bread</th>\n",
" <th>whiskey</th>\n",
" <th>white_bread</th>\n",
" <th>white_wine</th>\n",
" <th>whole_grain_wheat_flour</th>\n",
" <th>wine</th>\n",
" <th>wood</th>\n",
" <th>yam</th>\n",
" <th>yeast</th>\n",
" <th>yogurt</th>\n",
" <th>zucchini</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>65</th>\n",
" <td>indian</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>66</th>\n",
" <td>indian</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" red_bean red_kidney_bean red_wine rhubarb rice roasted_almond \\\n",
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" saffron sage sake salmon salmon_roe sassafras sauerkraut savory \\\n",
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" whole_grain_wheat_flour wine wood yam yeast yogurt zucchini \n",
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]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"asian_indian_recipes.head()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"pandas.core.frame.DataFrame"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(asian_indian_recipes)"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Let's plot the decision tree and examine how it looks like."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
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"text/plain": [
"<graphviz.files.Source at 0x7fa2f39db0b8>"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"export_graphviz(bamboo_tree,\n",
" feature_names=list(ingredients.columns.values),\n",
" out_file=\"bamboo_tree.dot\",\n",
" class_names=np.unique(cuisines),\n",
" filled=True,\n",
" node_ids=True,\n",
" special_characters=True,\n",
" impurity=False,\n",
" label=\"all\",\n",
" leaves_parallel=False)\n",
"\n",
"with open(\"bamboo_tree.dot\") as bamboo_tree_image:\n",
" bamboo_tree_graph = bamboo_tree_image.read()\n",
"graphviz.Source(bamboo_tree_graph)"
]
},
{
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"source": [
"The decision tree learned:\n",
"* If a recipe contains *cumin* and *fish* and **no** *yoghurt*, then it is most likely a **Thai** recipe.\n",
"* If a recipe contains *cumin* but **no** *fish* and **no** *soy_sauce*, then it is most likely an **Indian** recipe."
]
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"source": [
"You can analyze the remaining branches of the tree to come up with similar rules for determining the cuisine of different recipes. "
]
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"Feel free to select another subset of cuisines and build a decision tree of their recipes. You can select some European cuisines and build a decision tree to explore the ingredients that differentiate them."
]
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"source": [
"# Model Evaluation <a id=\"4\"></a>"
]
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"<img src=\"https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DS0103EN/labs/images/lab4_fig5_flowchart_evaluation.png\" width=500>"
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"To evaluate our model of Asian and Indian cuisines, we will split our dataset into a training set and a test set. We will build the decision tree using the training set. Then, we will test the model on the test set and compare the cuisines that the model predicts to the actual cuisines. "
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"source": [
"Let's first create a new dataframe using only the data pertaining to the Asian and the Indian cuisines, and let's call the new dataframe **bamboo**."
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" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>cuisine</th>\n",
" <th>almond</th>\n",
" <th>angelica</th>\n",
" <th>anise</th>\n",
" <th>anise_seed</th>\n",
" <th>apple</th>\n",
" <th>apple_brandy</th>\n",
" <th>apricot</th>\n",
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" <th>beech</th>\n",
" <th>beef</th>\n",
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" <th>black_tea</th>\n",
" <th>blackberry</th>\n",
" <th>blackberry_brandy</th>\n",
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" <th>bone_oil</th>\n",
" <th>bourbon_whiskey</th>\n",
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" <th>bread</th>\n",
" <th>broccoli</th>\n",
" <th>brown_rice</th>\n",
" <th>brussels_sprout</th>\n",
" <th>buckwheat</th>\n",
" <th>butter</th>\n",
" <th>buttermilk</th>\n",
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" <th>caviar</th>\n",
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" <th>champagne_wine</th>\n",
" <th>chayote</th>\n",
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" <th>chickpea</th>\n",
" <th>chicory</th>\n",
" <th>chinese_cabbage</th>\n",
" <th>chive</th>\n",
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" <th>cilantro</th>\n",
" <th>cinnamon</th>\n",
" <th>citrus</th>\n",
" <th>citrus_peel</th>\n",
" <th>clam</th>\n",
" <th>clove</th>\n",
" <th>cocoa</th>\n",
" <th>coconut</th>\n",
" <th>coconut_oil</th>\n",
" <th>cod</th>\n",
" <th>coffee</th>\n",
" <th>cognac</th>\n",
" <th>concord_grape</th>\n",
" <th>condiment</th>\n",
" <th>coriander</th>\n",
" <th>corn</th>\n",
" <th>corn_flake</th>\n",
" <th>corn_grit</th>\n",
" <th>cottage_cheese</th>\n",
" <th>crab</th>\n",
" <th>cranberry</th>\n",
" <th>cream</th>\n",
" <th>cream_cheese</th>\n",
" <th>cucumber</th>\n",
" <th>cumin</th>\n",
" <th>cured_pork</th>\n",
" <th>currant</th>\n",
" <th>date</th>\n",
" <th>dill</th>\n",
" <th>durian</th>\n",
" <th>eel</th>\n",
" <th>egg</th>\n",
" <th>egg_noodle</th>\n",
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" <th>emmental_cheese</th>\n",
" <th>endive</th>\n",
" <th>enokidake</th>\n",
" <th>fennel</th>\n",
" <th>fenugreek</th>\n",
" <th>feta_cheese</th>\n",
" <th>fig</th>\n",
" <th>fish</th>\n",
" <th>flower</th>\n",
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" <th>jasmine</th>\n",
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" <th>juniper_berry</th>\n",
" <th>kaffir_lime</th>\n",
" <th>kale</th>\n",
" <th>katsuobushi</th>\n",
" <th>kelp</th>\n",
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" <th>kiwi</th>\n",
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" <th>lemongrass</th>\n",
" <th>lentil</th>\n",
" <th>lettuce</th>\n",
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" <th>lilac_flower_oil</th>\n",
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" <th>lime_peel_oil</th>\n",
" <th>lingonberry</th>\n",
" <th>litchi</th>\n",
" <th>liver</th>\n",
" <th>lobster</th>\n",
" <th>long_pepper</th>\n",
" <th>lovage</th>\n",
" <th>macadamia_nut</th>\n",
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" <th>mandarin</th>\n",
" <th>mandarin_peel</th>\n",
" <th>mango</th>\n",
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" <th>marjoram</th>\n",
" <th>mate</th>\n",
" <th>matsutake</th>\n",
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" <th>melon</th>\n",
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" <th>mozzarella_cheese</th>\n",
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" <th>mussel</th>\n",
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" <th>onion</th>\n",
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" <th>ouzo</th>\n",
" <th>oyster</th>\n",
" <th>palm</th>\n",
" <th>papaya</th>\n",
" <th>parmesan_cheese</th>\n",
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" <th>parsnip</th>\n",
" <th>passion_fruit</th>\n",
" <th>pea</th>\n",
" <th>peach</th>\n",
" <th>peanut</th>\n",
" <th>peanut_butter</th>\n",
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" <th>peppermint_oil</th>\n",
" <th>pimenta</th>\n",
" <th>pimento</th>\n",
" <th>pineapple</th>\n",
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" <th>port_wine</th>\n",
" <th>potato</th>\n",
" <th>potato_chip</th>\n",
" <th>prawn</th>\n",
" <th>prickly_pear</th>\n",
" <th>provolone_cheese</th>\n",
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" <th>sweet_potato</th>\n",
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" <th>walnut</th>\n",
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],
"text/plain": [
" cuisine almond angelica anise anise_seed apple apple_brandy apricot \\\n",
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"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" mango maple_syrup marjoram mate matsutake meat melon milk \\\n",
"65 1 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 1 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"\n",
" milk_fat mint mozzarella_cheese mung_bean munster_cheese \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"\n",
" muscat_grape mushroom mussel mustard mutton nectarine nira nut \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"\n",
" nutmeg oat oatmeal octopus okra olive olive_oil onion orange \\\n",
"65 0 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 1 0 0 1 0 \n",
"69 0 0 0 0 0 0 0 0 0 \n",
"\n",
" orange_flower orange_juice orange_peel oregano ouzo oyster palm \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" papaya parmesan_cheese parsley parsnip passion_fruit pea peach \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" peanut peanut_butter peanut_oil pear pear_brandy pecan pelargonium \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" pepper peppermint peppermint_oil pimenta pimento pineapple \\\n",
"65 1 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"\n",
" pistachio plum popcorn porcini pork pork_liver pork_sausage \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" port_wine potato potato_chip prawn prickly_pear provolone_cheese \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"\n",
" pumpkin quince radish raisin rapeseed raspberry raw_beef red_algae \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 1 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
"69 0 0 0 1 0 0 0 0 \n",
"\n",
" red_bean red_kidney_bean red_wine rhubarb rice roasted_almond \\\n",
"65 0 0 0 0 1 0 \n",
"66 0 0 0 0 1 0 \n",
"67 0 0 0 0 1 0 \n",
"68 0 0 0 0 1 0 \n",
"69 0 0 0 0 0 0 \n",
"\n",
" roasted_beef roasted_hazelnut roasted_meat roasted_nut roasted_peanut \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"\n",
" roasted_pecan roasted_pork roasted_sesame_seed romano_cheese root \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"\n",
" roquefort_cheese rose rosemary rum rutabaga rye_bread rye_flour \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" saffron sage sake salmon salmon_roe sassafras sauerkraut savory \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 1 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 1 \n",
"69 0 0 0 0 0 0 0 0 \n",
"\n",
" scallion scallop sea_algae seaweed seed sesame_oil sesame_seed \\\n",
"65 0 0 0 0 1 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 1 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" shallot sheep_cheese shellfish sherry shiitake shrimp smoke \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" smoked_fish smoked_salmon smoked_sausage sour_cherry sour_milk \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"\n",
" soy_sauce soybean soybean_oil spearmint squash squid star_anise \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" starch strawberry strawberry_jam strawberry_juice sturgeon_caviar \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"\n",
" sumac sunflower_oil sweet_potato swiss_cheese tabasco_pepper \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"\n",
" tamarind tangerine tarragon tea tequila thai_pepper thyme tomato \\\n",
"65 0 0 0 0 0 0 0 1 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 1 \n",
"69 0 0 0 0 0 0 0 0 \n",
"\n",
" tomato_juice truffle tuna turkey turmeric turnip vanilla veal \\\n",
"65 0 0 0 0 1 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 1 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"\n",
" vegetable vegetable_oil vinegar violet walnut wasabi watercress \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"\n",
" watermelon wheat wheat_bread whiskey white_bread white_wine \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 1 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"\n",
" whole_grain_wheat_flour wine wood yam yeast yogurt zucchini \n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 1 0 "
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bamboo = recipes[recipes.cuisine.isin([\"korean\", \"japanese\", \"chinese\", \"thai\", \"indian\"])]\n",
"bamboo.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Let's see how many recipes exist for each cuisine."
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"pandas.core.series.Series"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(bamboo[\"cuisine\"].value_counts())"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Let's remove 30 recipes from each cuisine to use as the test set, and let's name this test set **bamboo_test**."
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [],
"source": [
"# set sample size\n",
"sample_n = 30"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Create a dataframe containing 30 recipes from each cuisine, selected randomly."
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>cuisine</th>\n",
" <th>almond</th>\n",
" <th>angelica</th>\n",
" <th>anise</th>\n",
" <th>anise_seed</th>\n",
" <th>apple</th>\n",
" <th>apple_brandy</th>\n",
" <th>apricot</th>\n",
" <th>armagnac</th>\n",
" <th>artemisia</th>\n",
" <th>artichoke</th>\n",
" <th>asparagus</th>\n",
" <th>avocado</th>\n",
" <th>bacon</th>\n",
" <th>baked_potato</th>\n",
" <th>balm</th>\n",
" <th>banana</th>\n",
" <th>barley</th>\n",
" <th>bartlett_pear</th>\n",
" <th>basil</th>\n",
" <th>bay</th>\n",
" <th>bean</th>\n",
" <th>beech</th>\n",
" <th>beef</th>\n",
" <th>beef_broth</th>\n",
" <th>beef_liver</th>\n",
" <th>beer</th>\n",
" <th>beet</th>\n",
" <th>bell_pepper</th>\n",
" <th>bergamot</th>\n",
" <th>berry</th>\n",
" <th>bitter_orange</th>\n",
" <th>black_bean</th>\n",
" <th>black_currant</th>\n",
" <th>black_mustard_seed_oil</th>\n",
" <th>black_pepper</th>\n",
" <th>black_raspberry</th>\n",
" <th>black_sesame_seed</th>\n",
" <th>black_tea</th>\n",
" <th>blackberry</th>\n",
" <th>blackberry_brandy</th>\n",
" <th>blue_cheese</th>\n",
" <th>blueberry</th>\n",
" <th>bone_oil</th>\n",
" <th>bourbon_whiskey</th>\n",
" <th>brandy</th>\n",
" <th>brassica</th>\n",
" <th>bread</th>\n",
" <th>broccoli</th>\n",
" <th>brown_rice</th>\n",
" <th>brussels_sprout</th>\n",
" <th>buckwheat</th>\n",
" <th>butter</th>\n",
" <th>buttermilk</th>\n",
" <th>cabbage</th>\n",
" <th>cabernet_sauvignon_wine</th>\n",
" <th>cacao</th>\n",
" <th>camembert_cheese</th>\n",
" <th>cane_molasses</th>\n",
" <th>caraway</th>\n",
" <th>cardamom</th>\n",
" <th>carnation</th>\n",
" <th>carob</th>\n",
" <th>carrot</th>\n",
" <th>cashew</th>\n",
" <th>cassava</th>\n",
" <th>catfish</th>\n",
" <th>cauliflower</th>\n",
" <th>caviar</th>\n",
" <th>cayenne</th>\n",
" <th>celery</th>\n",
" <th>celery_oil</th>\n",
" <th>cereal</th>\n",
" <th>chamomile</th>\n",
" <th>champagne_wine</th>\n",
" <th>chayote</th>\n",
" <th>cheddar_cheese</th>\n",
" <th>cheese</th>\n",
" <th>cherry</th>\n",
" <th>cherry_brandy</th>\n",
" <th>chervil</th>\n",
" <th>chicken</th>\n",
" <th>chicken_broth</th>\n",
" <th>chicken_liver</th>\n",
" <th>chickpea</th>\n",
" <th>chicory</th>\n",
" <th>chinese_cabbage</th>\n",
" <th>chive</th>\n",
" <th>cider</th>\n",
" <th>cilantro</th>\n",
" <th>cinnamon</th>\n",
" <th>citrus</th>\n",
" <th>citrus_peel</th>\n",
" <th>clam</th>\n",
" <th>clove</th>\n",
" <th>cocoa</th>\n",
" <th>coconut</th>\n",
" <th>coconut_oil</th>\n",
" <th>cod</th>\n",
" <th>coffee</th>\n",
" <th>cognac</th>\n",
" <th>concord_grape</th>\n",
" <th>condiment</th>\n",
" <th>coriander</th>\n",
" <th>corn</th>\n",
" <th>corn_flake</th>\n",
" <th>corn_grit</th>\n",
" <th>cottage_cheese</th>\n",
" <th>crab</th>\n",
" <th>cranberry</th>\n",
" <th>cream</th>\n",
" <th>cream_cheese</th>\n",
" <th>cucumber</th>\n",
" <th>cumin</th>\n",
" <th>cured_pork</th>\n",
" <th>currant</th>\n",
" <th>date</th>\n",
" <th>dill</th>\n",
" <th>durian</th>\n",
" <th>eel</th>\n",
" <th>egg</th>\n",
" <th>egg_noodle</th>\n",
" <th>elderberry</th>\n",
" <th>emmental_cheese</th>\n",
" <th>endive</th>\n",
" <th>enokidake</th>\n",
" <th>fennel</th>\n",
" <th>fenugreek</th>\n",
" <th>feta_cheese</th>\n",
" <th>fig</th>\n",
" <th>fish</th>\n",
" <th>flower</th>\n",
" <th>frankfurter</th>\n",
" <th>fruit</th>\n",
" <th>galanga</th>\n",
" <th>gardenia</th>\n",
" <th>garlic</th>\n",
" <th>gelatin</th>\n",
" <th>geranium</th>\n",
" <th>gin</th>\n",
" <th>ginger</th>\n",
" <th>goat_cheese</th>\n",
" <th>grape</th>\n",
" <th>grape_brandy</th>\n",
" <th>grape_juice</th>\n",
" <th>grapefruit</th>\n",
" <th>green_bell_pepper</th>\n",
" <th>green_tea</th>\n",
" <th>gruyere_cheese</th>\n",
" <th>guava</th>\n",
" <th>haddock</th>\n",
" <th>ham</th>\n",
" <th>hazelnut</th>\n",
" <th>herring</th>\n",
" <th>holy_basil</th>\n",
" <th>honey</th>\n",
" <th>hop</th>\n",
" <th>horseradish</th>\n",
" <th>huckleberry</th>\n",
" <th>jamaican_rum</th>\n",
" <th>japanese_plum</th>\n",
" <th>jasmine</th>\n",
" <th>jasmine_tea</th>\n",
" <th>juniper_berry</th>\n",
" <th>kaffir_lime</th>\n",
" <th>kale</th>\n",
" <th>katsuobushi</th>\n",
" <th>kelp</th>\n",
" <th>kidney_bean</th>\n",
" <th>kiwi</th>\n",
" <th>kohlrabi</th>\n",
" <th>kumquat</th>\n",
" <th>lamb</th>\n",
" <th>lard</th>\n",
" <th>laurel</th>\n",
" <th>lavender</th>\n",
" <th>leaf</th>\n",
" <th>leek</th>\n",
" <th>lemon</th>\n",
" <th>lemon_juice</th>\n",
" <th>lemon_peel</th>\n",
" <th>lemongrass</th>\n",
" <th>lentil</th>\n",
" <th>lettuce</th>\n",
" <th>licorice</th>\n",
" <th>lilac_flower_oil</th>\n",
" <th>lima_bean</th>\n",
" <th>lime</th>\n",
" <th>lime_juice</th>\n",
" <th>lime_peel_oil</th>\n",
" <th>lingonberry</th>\n",
" <th>litchi</th>\n",
" <th>liver</th>\n",
" <th>lobster</th>\n",
" <th>long_pepper</th>\n",
" <th>lovage</th>\n",
" <th>macadamia_nut</th>\n",
" <th>macaroni</th>\n",
" <th>mace</th>\n",
" <th>mackerel</th>\n",
" <th>malt</th>\n",
" <th>mandarin</th>\n",
" <th>mandarin_peel</th>\n",
" <th>mango</th>\n",
" <th>maple_syrup</th>\n",
" <th>marjoram</th>\n",
" <th>mate</th>\n",
" <th>matsutake</th>\n",
" <th>meat</th>\n",
" <th>melon</th>\n",
" <th>milk</th>\n",
" <th>milk_fat</th>\n",
" <th>mint</th>\n",
" <th>mozzarella_cheese</th>\n",
" <th>mung_bean</th>\n",
" <th>munster_cheese</th>\n",
" <th>muscat_grape</th>\n",
" <th>mushroom</th>\n",
" <th>mussel</th>\n",
" <th>mustard</th>\n",
" <th>mutton</th>\n",
" <th>nectarine</th>\n",
" <th>nira</th>\n",
" <th>nut</th>\n",
" <th>nutmeg</th>\n",
" <th>oat</th>\n",
" <th>oatmeal</th>\n",
" <th>octopus</th>\n",
" <th>okra</th>\n",
" <th>olive</th>\n",
" <th>olive_oil</th>\n",
" <th>onion</th>\n",
" <th>orange</th>\n",
" <th>orange_flower</th>\n",
" <th>orange_juice</th>\n",
" <th>orange_peel</th>\n",
" <th>oregano</th>\n",
" <th>ouzo</th>\n",
" <th>oyster</th>\n",
" <th>palm</th>\n",
" <th>papaya</th>\n",
" <th>parmesan_cheese</th>\n",
" <th>parsley</th>\n",
" <th>parsnip</th>\n",
" <th>passion_fruit</th>\n",
" <th>pea</th>\n",
" <th>peach</th>\n",
" <th>peanut</th>\n",
" <th>peanut_butter</th>\n",
" <th>peanut_oil</th>\n",
" <th>pear</th>\n",
" <th>pear_brandy</th>\n",
" <th>pecan</th>\n",
" <th>pelargonium</th>\n",
" <th>pepper</th>\n",
" <th>peppermint</th>\n",
" <th>peppermint_oil</th>\n",
" <th>pimenta</th>\n",
" <th>pimento</th>\n",
" <th>pineapple</th>\n",
" <th>pistachio</th>\n",
" <th>plum</th>\n",
" <th>popcorn</th>\n",
" <th>porcini</th>\n",
" <th>pork</th>\n",
" <th>pork_liver</th>\n",
" <th>pork_sausage</th>\n",
" <th>port_wine</th>\n",
" <th>potato</th>\n",
" <th>potato_chip</th>\n",
" <th>prawn</th>\n",
" <th>prickly_pear</th>\n",
" <th>provolone_cheese</th>\n",
" <th>pumpkin</th>\n",
" <th>quince</th>\n",
" <th>radish</th>\n",
" <th>raisin</th>\n",
" <th>rapeseed</th>\n",
" <th>raspberry</th>\n",
" <th>raw_beef</th>\n",
" <th>red_algae</th>\n",
" <th>red_bean</th>\n",
" <th>red_kidney_bean</th>\n",
" <th>red_wine</th>\n",
" <th>rhubarb</th>\n",
" <th>rice</th>\n",
" <th>roasted_almond</th>\n",
" <th>roasted_beef</th>\n",
" <th>roasted_hazelnut</th>\n",
" <th>roasted_meat</th>\n",
" <th>roasted_nut</th>\n",
" <th>roasted_peanut</th>\n",
" <th>roasted_pecan</th>\n",
" <th>roasted_pork</th>\n",
" <th>roasted_sesame_seed</th>\n",
" <th>romano_cheese</th>\n",
" <th>root</th>\n",
" <th>roquefort_cheese</th>\n",
" <th>rose</th>\n",
" <th>rosemary</th>\n",
" <th>rum</th>\n",
" <th>rutabaga</th>\n",
" <th>rye_bread</th>\n",
" <th>rye_flour</th>\n",
" <th>saffron</th>\n",
" <th>sage</th>\n",
" <th>sake</th>\n",
" <th>salmon</th>\n",
" <th>salmon_roe</th>\n",
" <th>sassafras</th>\n",
" <th>sauerkraut</th>\n",
" <th>savory</th>\n",
" <th>scallion</th>\n",
" <th>scallop</th>\n",
" <th>sea_algae</th>\n",
" <th>seaweed</th>\n",
" <th>seed</th>\n",
" <th>sesame_oil</th>\n",
" <th>sesame_seed</th>\n",
" <th>shallot</th>\n",
" <th>sheep_cheese</th>\n",
" <th>shellfish</th>\n",
" <th>sherry</th>\n",
" <th>shiitake</th>\n",
" <th>shrimp</th>\n",
" <th>smoke</th>\n",
" <th>smoked_fish</th>\n",
" <th>smoked_salmon</th>\n",
" <th>smoked_sausage</th>\n",
" <th>sour_cherry</th>\n",
" <th>sour_milk</th>\n",
" <th>soy_sauce</th>\n",
" <th>soybean</th>\n",
" <th>soybean_oil</th>\n",
" <th>spearmint</th>\n",
" <th>squash</th>\n",
" <th>squid</th>\n",
" <th>star_anise</th>\n",
" <th>starch</th>\n",
" <th>strawberry</th>\n",
" <th>strawberry_jam</th>\n",
" <th>strawberry_juice</th>\n",
" <th>sturgeon_caviar</th>\n",
" <th>sumac</th>\n",
" <th>sunflower_oil</th>\n",
" <th>sweet_potato</th>\n",
" <th>swiss_cheese</th>\n",
" <th>tabasco_pepper</th>\n",
" <th>tamarind</th>\n",
" <th>tangerine</th>\n",
" <th>tarragon</th>\n",
" <th>tea</th>\n",
" <th>tequila</th>\n",
" <th>thai_pepper</th>\n",
" <th>thyme</th>\n",
" <th>tomato</th>\n",
" <th>tomato_juice</th>\n",
" <th>truffle</th>\n",
" <th>tuna</th>\n",
" <th>turkey</th>\n",
" <th>turmeric</th>\n",
" <th>turnip</th>\n",
" <th>vanilla</th>\n",
" <th>veal</th>\n",
" <th>vegetable</th>\n",
" <th>vegetable_oil</th>\n",
" <th>vinegar</th>\n",
" <th>violet</th>\n",
" <th>walnut</th>\n",
" <th>wasabi</th>\n",
" <th>watercress</th>\n",
" <th>watermelon</th>\n",
" <th>wheat</th>\n",
" <th>wheat_bread</th>\n",
" <th>whiskey</th>\n",
" <th>white_bread</th>\n",
" <th>white_wine</th>\n",
" <th>whole_grain_wheat_flour</th>\n",
" <th>wine</th>\n",
" <th>wood</th>\n",
" <th>yam</th>\n",
" <th>yeast</th>\n",
" <th>yogurt</th>\n",
" <th>zucchini</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>19516</th>\n",
" <td>chinese</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19572</th>\n",
" <td>chinese</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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"</table>\n",
"<p>150 rows × 384 columns</p>\n",
"</div>"
],
"text/plain": [
" cuisine almond angelica anise anise_seed apple apple_brandy \\\n",
"19516 chinese 0 0 0 0 0 0 \n",
"19572 chinese 0 0 0 0 0 0 \n",
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"\n",
" apricot armagnac artemisia artichoke asparagus avocado bacon \\\n",
"19516 0 0 0 0 0 0 0 \n",
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" baked_potato balm banana barley bartlett_pear basil bay bean \\\n",
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"\n",
" beech beef beef_broth beef_liver beer beet bell_pepper bergamot \\\n",
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"\n",
" berry bitter_orange black_bean black_currant \\\n",
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" black_mustard_seed_oil black_pepper black_raspberry \\\n",
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"\n",
" black_sesame_seed black_tea blackberry blackberry_brandy \\\n",
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" blue_cheese blueberry bone_oil bourbon_whiskey brandy brassica \\\n",
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" bread broccoli brown_rice brussels_sprout buckwheat butter \\\n",
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" buttermilk cabbage cabernet_sauvignon_wine cacao camembert_cheese \\\n",
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" cane_molasses caraway cardamom carnation carob carrot cashew \\\n",
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" cassava catfish cauliflower caviar cayenne celery celery_oil \\\n",
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" cereal chamomile champagne_wine chayote cheddar_cheese cheese \\\n",
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" cherry cherry_brandy chervil chicken chicken_broth chicken_liver \\\n",
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" chickpea chicory chinese_cabbage chive cider cilantro cinnamon \\\n",
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"\n",
" citrus citrus_peel clam clove cocoa coconut coconut_oil cod \\\n",
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"\n",
" coffee cognac concord_grape condiment coriander corn corn_flake \\\n",
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"\n",
" corn_grit cottage_cheese crab cranberry cream cream_cheese \\\n",
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" cucumber cumin cured_pork currant date dill durian eel egg \\\n",
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"\n",
" egg_noodle elderberry emmental_cheese endive enokidake fennel \\\n",
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" fenugreek feta_cheese fig fish flower frankfurter fruit galanga \\\n",
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" gardenia garlic gelatin geranium gin ginger goat_cheese grape \\\n",
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"\n",
" grape_brandy grape_juice grapefruit green_bell_pepper green_tea \\\n",
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" gruyere_cheese guava haddock ham hazelnut herring holy_basil \\\n",
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"\n",
" honey hop horseradish huckleberry jamaican_rum japanese_plum \\\n",
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" jasmine jasmine_tea juniper_berry kaffir_lime kale katsuobushi \\\n",
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" kelp kidney_bean kiwi kohlrabi kumquat lamb lard laurel \\\n",
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" lavender leaf leek lemon lemon_juice lemon_peel lemongrass \\\n",
"19516 0 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 0 \n",
"19545 0 0 0 0 0 0 0 \n",
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"... ... ... ... ... ... ... ... \n",
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"55527 0 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 1 \n",
"2457 0 0 0 0 0 0 1 \n",
"\n",
" lentil lettuce licorice lilac_flower_oil lima_bean lime \\\n",
"19516 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 \n",
"19545 0 1 0 0 0 0 \n",
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"\n",
" lime_juice lime_peel_oil lingonberry litchi liver lobster \\\n",
"19516 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 \n",
"19545 0 0 0 0 0 0 \n",
"13448 0 0 0 0 0 0 \n",
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"55527 0 0 0 0 0 0 \n",
"2451 1 0 0 0 0 0 \n",
"2457 1 0 0 0 0 0 \n",
"\n",
" long_pepper lovage macadamia_nut macaroni mace mackerel malt \\\n",
"19516 0 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 0 \n",
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"2451 0 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 0 \n",
"\n",
" mandarin mandarin_peel mango maple_syrup marjoram mate matsutake \\\n",
"19516 0 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 0 \n",
"19545 0 0 0 0 0 0 0 \n",
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"... ... ... ... ... ... ... ... \n",
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"55527 0 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 0 \n",
"\n",
" meat melon milk milk_fat mint mozzarella_cheese mung_bean \\\n",
"19516 0 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 0 \n",
"19545 0 0 0 0 0 0 0 \n",
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"... ... ... ... ... ... ... ... \n",
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"55527 0 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 0 \n",
"\n",
" munster_cheese muscat_grape mushroom mussel mustard mutton \\\n",
"19516 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 \n",
"19545 0 0 0 0 0 0 \n",
"13448 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"2371 0 0 0 0 0 0 \n",
"2408 0 0 0 0 0 0 \n",
"55527 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 \n",
"\n",
" nectarine nira nut nutmeg oat oatmeal octopus okra olive \\\n",
"19516 0 0 0 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 0 0 0 \n",
"19611 0 0 1 0 0 0 0 0 0 \n",
"19545 0 0 0 0 0 0 0 0 0 \n",
"13448 0 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... ... \n",
"2371 0 0 0 0 0 0 0 0 0 \n",
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"55527 0 0 0 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 0 0 0 \n",
"\n",
" olive_oil onion orange orange_flower orange_juice orange_peel \\\n",
"19516 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 \n",
"19545 0 0 0 0 0 0 \n",
"13448 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"2371 0 0 0 0 0 0 \n",
"2408 1 1 0 0 0 0 \n",
"55527 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 \n",
"\n",
" oregano ouzo oyster palm papaya parmesan_cheese parsley parsnip \\\n",
"19516 0 0 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 0 0 \n",
"19545 0 0 0 0 0 0 0 0 \n",
"13448 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"2371 0 0 0 0 0 0 0 0 \n",
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"55527 0 0 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 0 0 \n",
"\n",
" passion_fruit pea peach peanut peanut_butter peanut_oil pear \\\n",
"19516 0 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 0 \n",
"19611 0 0 0 1 0 0 0 \n",
"19545 0 0 0 0 1 0 0 \n",
"13448 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"2371 0 0 0 0 0 0 0 \n",
"2408 0 1 0 0 0 0 0 \n",
"55527 0 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 0 \n",
"\n",
" pear_brandy pecan pelargonium pepper peppermint peppermint_oil \\\n",
"19516 0 0 0 0 0 0 \n",
"19572 0 0 0 1 0 0 \n",
"19611 0 0 0 0 0 0 \n",
"19545 0 0 0 1 0 0 \n",
"13448 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"2371 0 0 0 0 0 0 \n",
"2408 0 0 0 0 0 0 \n",
"55527 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 \n",
"\n",
" pimenta pimento pineapple pistachio plum popcorn porcini pork \\\n",
"19516 0 0 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 0 0 \n",
"19545 0 0 0 0 0 0 0 0 \n",
"13448 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"2371 0 0 0 0 0 0 0 0 \n",
"2408 0 0 0 0 0 0 0 0 \n",
"55527 0 0 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 0 0 \n",
"\n",
" pork_liver pork_sausage port_wine potato potato_chip prawn \\\n",
"19516 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 \n",
"19545 0 0 0 0 0 0 \n",
"13448 0 0 0 0 0 0 \n",
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"55527 0 0 0 0 0 0 \n",
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"2457 0 0 0 0 0 0 \n",
"\n",
" prickly_pear provolone_cheese pumpkin quince radish raisin \\\n",
"19516 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 \n",
"19545 0 0 0 0 0 0 \n",
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"... ... ... ... ... ... ... \n",
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"2408 0 0 0 0 0 0 \n",
"55527 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 \n",
"\n",
" rapeseed raspberry raw_beef red_algae red_bean red_kidney_bean \\\n",
"19516 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 \n",
"19545 0 0 0 0 0 0 \n",
"13448 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
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"2408 0 0 0 0 0 0 \n",
"55527 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 \n",
"\n",
" red_wine rhubarb rice roasted_almond roasted_beef \\\n",
"19516 0 0 0 0 0 \n",
"19572 0 0 0 0 0 \n",
"19611 0 0 0 0 0 \n",
"19545 0 0 0 0 0 \n",
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"... ... ... ... ... ... \n",
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"2408 0 0 1 0 0 \n",
"55527 0 0 0 0 0 \n",
"2451 0 0 0 0 0 \n",
"2457 0 0 0 0 0 \n",
"\n",
" roasted_hazelnut roasted_meat roasted_nut roasted_peanut \\\n",
"19516 0 0 0 0 \n",
"19572 0 0 0 0 \n",
"19611 0 0 0 0 \n",
"19545 0 0 0 0 \n",
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"... ... ... ... ... \n",
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"55527 0 0 0 0 \n",
"2451 0 0 0 0 \n",
"2457 0 0 0 0 \n",
"\n",
" roasted_pecan roasted_pork roasted_sesame_seed romano_cheese root \\\n",
"19516 0 0 0 0 0 \n",
"19572 0 0 0 0 0 \n",
"19611 0 0 0 0 0 \n",
"19545 0 0 0 0 0 \n",
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"55527 0 0 0 0 0 \n",
"2451 0 0 0 0 0 \n",
"2457 0 0 0 0 0 \n",
"\n",
" roquefort_cheese rose rosemary rum rutabaga rye_bread rye_flour \\\n",
"19516 0 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 0 \n",
"19545 0 0 0 0 0 0 0 \n",
"13448 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"2371 0 0 0 0 0 0 0 \n",
"2408 0 0 0 0 0 0 0 \n",
"55527 0 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 0 \n",
"\n",
" saffron sage sake salmon salmon_roe sassafras sauerkraut savory \\\n",
"19516 0 0 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 0 0 \n",
"19545 0 0 0 0 0 0 0 0 \n",
"13448 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"2371 0 0 0 0 0 0 0 0 \n",
"2408 0 0 0 0 0 0 0 0 \n",
"55527 0 0 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 0 0 \n",
"\n",
" scallion scallop sea_algae seaweed seed sesame_oil sesame_seed \\\n",
"19516 0 0 0 0 0 1 0 \n",
"19572 0 0 0 0 0 1 0 \n",
"19611 1 0 0 0 0 1 0 \n",
"19545 1 0 0 0 0 1 0 \n",
"13448 1 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"2371 0 0 0 0 0 0 0 \n",
"2408 1 0 0 0 0 0 0 \n",
"55527 0 0 0 0 0 1 0 \n",
"2451 0 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 0 \n",
"\n",
" shallot sheep_cheese shellfish sherry shiitake shrimp smoke \\\n",
"19516 0 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 0 \n",
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"... ... ... ... ... ... ... ... \n",
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"2408 0 0 0 0 0 0 0 \n",
"55527 0 0 0 0 0 0 0 \n",
"2451 1 0 0 0 0 0 0 \n",
"2457 1 0 0 0 0 1 0 \n",
"\n",
" smoked_fish smoked_salmon smoked_sausage sour_cherry sour_milk \\\n",
"19516 0 0 0 0 0 \n",
"19572 0 0 0 0 0 \n",
"19611 0 0 0 0 0 \n",
"19545 0 0 0 0 0 \n",
"13448 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
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"2408 0 0 0 0 0 \n",
"55527 0 0 0 0 0 \n",
"2451 0 0 0 0 0 \n",
"2457 0 0 0 0 0 \n",
"\n",
" soy_sauce soybean soybean_oil spearmint squash squid star_anise \\\n",
"19516 1 0 0 0 0 0 0 \n",
"19572 1 0 0 0 0 0 0 \n",
"19611 1 0 0 0 0 0 0 \n",
"19545 0 1 0 0 0 0 0 \n",
"13448 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"2371 1 0 0 0 0 0 0 \n",
"2408 1 0 0 0 0 0 0 \n",
"55527 0 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 1 0 \n",
"\n",
" starch strawberry strawberry_jam strawberry_juice sturgeon_caviar \\\n",
"19516 0 0 0 0 0 \n",
"19572 1 0 0 0 0 \n",
"19611 1 0 0 0 0 \n",
"19545 0 0 0 0 0 \n",
"13448 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
"2371 0 0 0 0 0 \n",
"2408 0 0 0 0 0 \n",
"55527 0 0 0 0 0 \n",
"2451 0 0 0 0 0 \n",
"2457 0 0 0 0 0 \n",
"\n",
" sumac sunflower_oil sweet_potato swiss_cheese tabasco_pepper \\\n",
"19516 0 0 0 0 0 \n",
"19572 0 0 0 0 0 \n",
"19611 0 0 0 0 0 \n",
"19545 0 0 0 0 0 \n",
"13448 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
"2371 0 0 0 0 0 \n",
"2408 0 0 0 0 0 \n",
"55527 0 0 0 0 0 \n",
"2451 0 0 0 0 0 \n",
"2457 0 0 0 0 0 \n",
"\n",
" tamarind tangerine tarragon tea tequila thai_pepper thyme \\\n",
"19516 0 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 0 \n",
"19545 0 0 0 0 0 0 0 \n",
"13448 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
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"2408 0 0 0 0 0 1 0 \n",
"55527 0 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 0 \n",
"2457 0 0 1 0 0 0 0 \n",
"\n",
" tomato tomato_juice truffle tuna turkey turmeric turnip vanilla \\\n",
"19516 0 0 0 0 0 0 0 0 \n",
"19572 0 0 0 0 0 0 0 0 \n",
"19611 0 0 0 0 0 0 0 0 \n",
"19545 0 0 0 0 0 0 0 0 \n",
"13448 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"2371 1 0 0 0 0 0 0 0 \n",
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"55527 0 0 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 0 0 \n",
"\n",
" veal vegetable vegetable_oil vinegar violet walnut wasabi \\\n",
"19516 0 0 1 1 0 0 0 \n",
"19572 0 0 1 0 0 0 0 \n",
"19611 0 0 0 1 0 0 0 \n",
"19545 0 0 0 1 0 0 0 \n",
"13448 0 0 1 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"2371 0 0 1 0 0 0 0 \n",
"2408 0 0 0 0 0 0 0 \n",
"55527 0 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 0 \n",
"\n",
" watercress watermelon wheat wheat_bread whiskey white_bread \\\n",
"19516 0 0 0 0 0 0 \n",
"19572 0 0 1 0 0 0 \n",
"19611 0 0 0 0 0 0 \n",
"19545 0 0 1 0 0 0 \n",
"13448 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
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"2408 0 0 0 0 0 0 \n",
"55527 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 \n",
"\n",
" white_wine whole_grain_wheat_flour wine wood yam yeast yogurt \\\n",
"19516 0 0 0 0 0 0 0 \n",
"19572 0 0 1 0 0 0 0 \n",
"19611 1 0 0 0 0 0 0 \n",
"19545 0 0 1 0 0 0 0 \n",
"13448 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"2371 0 0 0 0 0 0 0 \n",
"2408 0 0 0 0 0 0 0 \n",
"55527 0 0 0 0 0 0 0 \n",
"2451 0 0 0 0 0 0 0 \n",
"2457 0 0 0 0 0 0 0 \n",
"\n",
" zucchini \n",
"19516 0 \n",
"19572 0 \n",
"19611 0 \n",
"19545 0 \n",
"13448 0 \n",
"... ... \n",
"2371 0 \n",
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"55527 0 \n",
"2451 0 \n",
"2457 0 \n",
"\n",
"[150 rows x 384 columns]"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# take 30 recipes from each cuisine\n",
"random.seed(1234) # set random seed\n",
"\n",
"\n",
"bamboo_test = bamboo.groupby(\"cuisine\", group_keys=False).apply(lambda x: x.sample(sample_n))\n",
"\n",
"\n",
"bamboo_test"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Check that there are 30 recipes for each cuisine."
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"19516 chinese\n",
"19572 chinese\n",
"19611 chinese\n",
"19545 chinese\n",
"13448 chinese\n",
" ... \n",
"2371 thai\n",
"2408 thai\n",
"55527 thai\n",
"2451 thai\n",
"2457 thai\n",
"Name: cuisine, Length: 150, dtype: object"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bamboo_test_ingredients = bamboo_test.iloc[:,1:] # ingredients\n",
"bamboo_test_cuisines = bamboo_test[\"cuisine\"] # corresponding cuisines or labels\n",
"bamboo_test_cuisines"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
"text/plain": [
"thai 30\n",
"chinese 30\n",
"indian 30\n",
"japanese 30\n",
"korean 30\n",
"Name: cuisine, dtype: int64"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# check that we have 30 recipes from each cuisine\n",
"bamboo_test[\"cuisine\"].value_counts()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Next, let's create the training set by removing the test set from the **bamboo** dataset, and let's call the training set **bamboo_train**."
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"button": false,
"deletable": true,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [
{
"data": {
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"<style scoped>\n",
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"\n",
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" }\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>cuisine</th>\n",
" <th>almond</th>\n",
" <th>angelica</th>\n",
" <th>anise</th>\n",
" <th>anise_seed</th>\n",
" <th>apple</th>\n",
" <th>apple_brandy</th>\n",
" <th>apricot</th>\n",
" <th>armagnac</th>\n",
" <th>artemisia</th>\n",
" <th>artichoke</th>\n",
" <th>asparagus</th>\n",
" <th>avocado</th>\n",
" <th>bacon</th>\n",
" <th>baked_potato</th>\n",
" <th>balm</th>\n",
" <th>banana</th>\n",
" <th>barley</th>\n",
" <th>bartlett_pear</th>\n",
" <th>basil</th>\n",
" <th>bay</th>\n",
" <th>bean</th>\n",
" <th>beech</th>\n",
" <th>beef</th>\n",
" <th>beef_broth</th>\n",
" <th>beef_liver</th>\n",
" <th>beer</th>\n",
" <th>beet</th>\n",
" <th>bell_pepper</th>\n",
" <th>bergamot</th>\n",
" <th>berry</th>\n",
" <th>bitter_orange</th>\n",
" <th>black_bean</th>\n",
" <th>black_currant</th>\n",
" <th>black_mustard_seed_oil</th>\n",
" <th>black_pepper</th>\n",
" <th>black_raspberry</th>\n",
" <th>black_sesame_seed</th>\n",
" <th>black_tea</th>\n",
" <th>blackberry</th>\n",
" <th>blackberry_brandy</th>\n",
" <th>blue_cheese</th>\n",
" <th>blueberry</th>\n",
" <th>bone_oil</th>\n",
" <th>bourbon_whiskey</th>\n",
" <th>brandy</th>\n",
" <th>brassica</th>\n",
" <th>bread</th>\n",
" <th>broccoli</th>\n",
" <th>brown_rice</th>\n",
" <th>brussels_sprout</th>\n",
" <th>buckwheat</th>\n",
" <th>butter</th>\n",
" <th>buttermilk</th>\n",
" <th>cabbage</th>\n",
" <th>cabernet_sauvignon_wine</th>\n",
" <th>cacao</th>\n",
" <th>camembert_cheese</th>\n",
" <th>cane_molasses</th>\n",
" <th>caraway</th>\n",
" <th>cardamom</th>\n",
" <th>carnation</th>\n",
" <th>carob</th>\n",
" <th>carrot</th>\n",
" <th>cashew</th>\n",
" <th>cassava</th>\n",
" <th>catfish</th>\n",
" <th>cauliflower</th>\n",
" <th>caviar</th>\n",
" <th>cayenne</th>\n",
" <th>celery</th>\n",
" <th>celery_oil</th>\n",
" <th>cereal</th>\n",
" <th>chamomile</th>\n",
" <th>champagne_wine</th>\n",
" <th>chayote</th>\n",
" <th>cheddar_cheese</th>\n",
" <th>cheese</th>\n",
" <th>cherry</th>\n",
" <th>cherry_brandy</th>\n",
" <th>chervil</th>\n",
" <th>chicken</th>\n",
" <th>chicken_broth</th>\n",
" <th>chicken_liver</th>\n",
" <th>chickpea</th>\n",
" <th>chicory</th>\n",
" <th>chinese_cabbage</th>\n",
" <th>chive</th>\n",
" <th>cider</th>\n",
" <th>cilantro</th>\n",
" <th>cinnamon</th>\n",
" <th>citrus</th>\n",
" <th>citrus_peel</th>\n",
" <th>clam</th>\n",
" <th>clove</th>\n",
" <th>cocoa</th>\n",
" <th>coconut</th>\n",
" <th>coconut_oil</th>\n",
" <th>cod</th>\n",
" <th>coffee</th>\n",
" <th>cognac</th>\n",
" <th>concord_grape</th>\n",
" <th>condiment</th>\n",
" <th>coriander</th>\n",
" <th>corn</th>\n",
" <th>corn_flake</th>\n",
" <th>corn_grit</th>\n",
" <th>cottage_cheese</th>\n",
" <th>crab</th>\n",
" <th>cranberry</th>\n",
" <th>cream</th>\n",
" <th>cream_cheese</th>\n",
" <th>cucumber</th>\n",
" <th>cumin</th>\n",
" <th>cured_pork</th>\n",
" <th>currant</th>\n",
" <th>date</th>\n",
" <th>dill</th>\n",
" <th>durian</th>\n",
" <th>eel</th>\n",
" <th>egg</th>\n",
" <th>egg_noodle</th>\n",
" <th>elderberry</th>\n",
" <th>emmental_cheese</th>\n",
" <th>endive</th>\n",
" <th>enokidake</th>\n",
" <th>fennel</th>\n",
" <th>fenugreek</th>\n",
" <th>feta_cheese</th>\n",
" <th>fig</th>\n",
" <th>fish</th>\n",
" <th>flower</th>\n",
" <th>frankfurter</th>\n",
" <th>fruit</th>\n",
" <th>galanga</th>\n",
" <th>gardenia</th>\n",
" <th>garlic</th>\n",
" <th>gelatin</th>\n",
" <th>geranium</th>\n",
" <th>gin</th>\n",
" <th>ginger</th>\n",
" <th>goat_cheese</th>\n",
" <th>grape</th>\n",
" <th>grape_brandy</th>\n",
" <th>grape_juice</th>\n",
" <th>grapefruit</th>\n",
" <th>green_bell_pepper</th>\n",
" <th>green_tea</th>\n",
" <th>gruyere_cheese</th>\n",
" <th>guava</th>\n",
" <th>haddock</th>\n",
" <th>ham</th>\n",
" <th>hazelnut</th>\n",
" <th>herring</th>\n",
" <th>holy_basil</th>\n",
" <th>honey</th>\n",
" <th>hop</th>\n",
" <th>horseradish</th>\n",
" <th>huckleberry</th>\n",
" <th>jamaican_rum</th>\n",
" <th>japanese_plum</th>\n",
" <th>jasmine</th>\n",
" <th>jasmine_tea</th>\n",
" <th>juniper_berry</th>\n",
" <th>kaffir_lime</th>\n",
" <th>kale</th>\n",
" <th>katsuobushi</th>\n",
" <th>kelp</th>\n",
" <th>kidney_bean</th>\n",
" <th>kiwi</th>\n",
" <th>kohlrabi</th>\n",
" <th>kumquat</th>\n",
" <th>lamb</th>\n",
" <th>lard</th>\n",
" <th>laurel</th>\n",
" <th>lavender</th>\n",
" <th>leaf</th>\n",
" <th>leek</th>\n",
" <th>lemon</th>\n",
" <th>lemon_juice</th>\n",
" <th>lemon_peel</th>\n",
" <th>lemongrass</th>\n",
" <th>lentil</th>\n",
" <th>lettuce</th>\n",
" <th>licorice</th>\n",
" <th>lilac_flower_oil</th>\n",
" <th>lima_bean</th>\n",
" <th>lime</th>\n",
" <th>lime_juice</th>\n",
" <th>lime_peel_oil</th>\n",
" <th>lingonberry</th>\n",
" <th>litchi</th>\n",
" <th>liver</th>\n",
" <th>lobster</th>\n",
" <th>long_pepper</th>\n",
" <th>lovage</th>\n",
" <th>macadamia_nut</th>\n",
" <th>macaroni</th>\n",
" <th>mace</th>\n",
" <th>mackerel</th>\n",
" <th>malt</th>\n",
" <th>mandarin</th>\n",
" <th>mandarin_peel</th>\n",
" <th>mango</th>\n",
" <th>maple_syrup</th>\n",
" <th>marjoram</th>\n",
" <th>mate</th>\n",
" <th>matsutake</th>\n",
" <th>meat</th>\n",
" <th>melon</th>\n",
" <th>milk</th>\n",
" <th>milk_fat</th>\n",
" <th>mint</th>\n",
" <th>mozzarella_cheese</th>\n",
" <th>mung_bean</th>\n",
" <th>munster_cheese</th>\n",
" <th>muscat_grape</th>\n",
" <th>mushroom</th>\n",
" <th>mussel</th>\n",
" <th>mustard</th>\n",
" <th>mutton</th>\n",
" <th>nectarine</th>\n",
" <th>nira</th>\n",
" <th>nut</th>\n",
" <th>nutmeg</th>\n",
" <th>oat</th>\n",
" <th>oatmeal</th>\n",
" <th>octopus</th>\n",
" <th>okra</th>\n",
" <th>olive</th>\n",
" <th>olive_oil</th>\n",
" <th>onion</th>\n",
" <th>orange</th>\n",
" <th>orange_flower</th>\n",
" <th>orange_juice</th>\n",
" <th>orange_peel</th>\n",
" <th>oregano</th>\n",
" <th>ouzo</th>\n",
" <th>oyster</th>\n",
" <th>palm</th>\n",
" <th>papaya</th>\n",
" <th>parmesan_cheese</th>\n",
" <th>parsley</th>\n",
" <th>parsnip</th>\n",
" <th>passion_fruit</th>\n",
" <th>pea</th>\n",
" <th>peach</th>\n",
" <th>peanut</th>\n",
" <th>peanut_butter</th>\n",
" <th>peanut_oil</th>\n",
" <th>pear</th>\n",
" <th>pear_brandy</th>\n",
" <th>pecan</th>\n",
" <th>pelargonium</th>\n",
" <th>pepper</th>\n",
" <th>peppermint</th>\n",
" <th>peppermint_oil</th>\n",
" <th>pimenta</th>\n",
" <th>pimento</th>\n",
" <th>pineapple</th>\n",
" <th>pistachio</th>\n",
" <th>plum</th>\n",
" <th>popcorn</th>\n",
" <th>porcini</th>\n",
" <th>pork</th>\n",
" <th>pork_liver</th>\n",
" <th>pork_sausage</th>\n",
" <th>port_wine</th>\n",
" <th>potato</th>\n",
" <th>potato_chip</th>\n",
" <th>prawn</th>\n",
" <th>prickly_pear</th>\n",
" <th>provolone_cheese</th>\n",
" <th>pumpkin</th>\n",
" <th>quince</th>\n",
" <th>radish</th>\n",
" <th>raisin</th>\n",
" <th>rapeseed</th>\n",
" <th>raspberry</th>\n",
" <th>raw_beef</th>\n",
" <th>red_algae</th>\n",
" <th>red_bean</th>\n",
" <th>red_kidney_bean</th>\n",
" <th>red_wine</th>\n",
" <th>rhubarb</th>\n",
" <th>rice</th>\n",
" <th>roasted_almond</th>\n",
" <th>roasted_beef</th>\n",
" <th>roasted_hazelnut</th>\n",
" <th>roasted_meat</th>\n",
" <th>roasted_nut</th>\n",
" <th>roasted_peanut</th>\n",
" <th>roasted_pecan</th>\n",
" <th>roasted_pork</th>\n",
" <th>roasted_sesame_seed</th>\n",
" <th>romano_cheese</th>\n",
" <th>root</th>\n",
" <th>roquefort_cheese</th>\n",
" <th>rose</th>\n",
" <th>rosemary</th>\n",
" <th>rum</th>\n",
" <th>rutabaga</th>\n",
" <th>rye_bread</th>\n",
" <th>rye_flour</th>\n",
" <th>saffron</th>\n",
" <th>sage</th>\n",
" <th>sake</th>\n",
" <th>salmon</th>\n",
" <th>salmon_roe</th>\n",
" <th>sassafras</th>\n",
" <th>sauerkraut</th>\n",
" <th>savory</th>\n",
" <th>scallion</th>\n",
" <th>scallop</th>\n",
" <th>sea_algae</th>\n",
" <th>seaweed</th>\n",
" <th>seed</th>\n",
" <th>sesame_oil</th>\n",
" <th>sesame_seed</th>\n",
" <th>shallot</th>\n",
" <th>sheep_cheese</th>\n",
" <th>shellfish</th>\n",
" <th>sherry</th>\n",
" <th>shiitake</th>\n",
" <th>shrimp</th>\n",
" <th>smoke</th>\n",
" <th>smoked_fish</th>\n",
" <th>smoked_salmon</th>\n",
" <th>smoked_sausage</th>\n",
" <th>sour_cherry</th>\n",
" <th>sour_milk</th>\n",
" <th>soy_sauce</th>\n",
" <th>soybean</th>\n",
" <th>soybean_oil</th>\n",
" <th>spearmint</th>\n",
" <th>squash</th>\n",
" <th>squid</th>\n",
" <th>star_anise</th>\n",
" <th>starch</th>\n",
" <th>strawberry</th>\n",
" <th>strawberry_jam</th>\n",
" <th>strawberry_juice</th>\n",
" <th>sturgeon_caviar</th>\n",
" <th>sumac</th>\n",
" <th>sunflower_oil</th>\n",
" <th>sweet_potato</th>\n",
" <th>swiss_cheese</th>\n",
" <th>tabasco_pepper</th>\n",
" <th>tamarind</th>\n",
" <th>tangerine</th>\n",
" <th>tarragon</th>\n",
" <th>tea</th>\n",
" <th>tequila</th>\n",
" <th>thai_pepper</th>\n",
" <th>thyme</th>\n",
" <th>tomato</th>\n",
" <th>tomato_juice</th>\n",
" <th>truffle</th>\n",
" <th>tuna</th>\n",
" <th>turkey</th>\n",
" <th>turmeric</th>\n",
" <th>turnip</th>\n",
" <th>vanilla</th>\n",
" <th>veal</th>\n",
" <th>vegetable</th>\n",
" <th>vegetable_oil</th>\n",
" <th>vinegar</th>\n",
" <th>violet</th>\n",
" <th>walnut</th>\n",
" <th>wasabi</th>\n",
" <th>watercress</th>\n",
" <th>watermelon</th>\n",
" <th>wheat</th>\n",
" <th>wheat_bread</th>\n",
" <th>whiskey</th>\n",
" <th>white_bread</th>\n",
" <th>white_wine</th>\n",
" <th>whole_grain_wheat_flour</th>\n",
" <th>wine</th>\n",
" <th>wood</th>\n",
" <th>yam</th>\n",
" <th>yeast</th>\n",
" <th>yogurt</th>\n",
" <th>zucchini</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>65</th>\n",
" <td>indian</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" cuisine almond angelica anise anise_seed apple apple_brandy \\\n",
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"66 0 0 0 0 0 1 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 1 \n",
"69 0 0 0 0 0 1 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" buttermilk cabbage cabernet_sauvignon_wine cacao camembert_cheese \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
"57686 0 0 0 0 0 \n",
"57687 0 0 0 0 0 \n",
"57688 0 0 0 0 0 \n",
"57689 0 1 0 0 0 \n",
"57690 0 0 0 0 0 \n",
"\n",
" cane_molasses caraway cardamom carnation carob carrot cashew \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 1 0 0 0 1 \n",
"67 0 0 1 0 0 0 0 \n",
"68 0 0 0 0 0 1 0 \n",
"69 0 0 1 0 0 0 1 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" cassava catfish cauliflower caviar cayenne celery celery_oil \\\n",
"65 0 0 0 0 1 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 1 0 0 \n",
"69 0 0 0 0 1 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" cereal chamomile champagne_wine chayote cheddar_cheese cheese \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" cherry cherry_brandy chervil chicken chicken_broth chicken_liver \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 1 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 1 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" chickpea chicory chinese_cabbage chive cider cilantro cinnamon \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 1 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 1 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 1 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" citrus citrus_peel clam clove cocoa coconut coconut_oil cod \\\n",
"65 0 0 0 0 0 1 1 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 1 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 0 \n",
"\n",
" coffee cognac concord_grape condiment coriander corn corn_flake \\\n",
"65 0 0 0 0 1 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 1 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" corn_grit cottage_cheese crab cranberry cream cream_cheese \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 1 1 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" cucumber cumin cured_pork currant date dill durian eel egg \\\n",
"65 0 1 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 0 \n",
"69 0 1 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... ... \n",
"57686 1 0 0 0 0 0 0 0 1 \n",
"57687 0 0 0 0 0 0 0 0 1 \n",
"57688 0 0 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 1 \n",
"57690 0 0 0 0 0 0 0 0 1 \n",
"\n",
" egg_noodle elderberry emmental_cheese endive enokidake fennel \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" fenugreek feta_cheese fig fish flower frankfurter fruit galanga \\\n",
"65 1 0 0 1 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 1 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 0 \n",
"57688 0 0 0 1 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 0 \n",
"\n",
" gardenia garlic gelatin geranium gin ginger goat_cheese grape \\\n",
"65 0 1 0 0 0 1 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 1 0 0 0 1 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 0 \n",
"57688 0 1 0 0 0 1 0 0 \n",
"57689 0 0 0 0 0 1 0 0 \n",
"57690 0 0 0 0 0 0 0 0 \n",
"\n",
" grape_brandy grape_juice grapefruit green_bell_pepper green_tea \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
"57686 0 0 0 0 0 \n",
"57687 0 0 0 0 0 \n",
"57688 0 0 0 0 0 \n",
"57689 0 0 0 0 0 \n",
"57690 0 0 0 0 0 \n",
"\n",
" gruyere_cheese guava haddock ham hazelnut herring holy_basil \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" honey hop horseradish huckleberry jamaican_rum japanese_plum \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" jasmine jasmine_tea juniper_berry kaffir_lime kale katsuobushi \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" kelp kidney_bean kiwi kohlrabi kumquat lamb lard laurel \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 0 \n",
"\n",
" lavender leaf leek lemon lemon_juice lemon_peel lemongrass \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 1 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 1 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" lentil lettuce licorice lilac_flower_oil lima_bean lime \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" lime_juice lime_peel_oil lingonberry litchi liver lobster \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 1 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" long_pepper lovage macadamia_nut macaroni mace mackerel malt \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" mandarin mandarin_peel mango maple_syrup marjoram mate matsutake \\\n",
"65 0 0 1 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" meat melon milk milk_fat mint mozzarella_cheese mung_bean \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 1 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 1 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 1 0 0 0 0 \n",
"\n",
" munster_cheese muscat_grape mushroom mussel mustard mutton \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 1 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" nectarine nira nut nutmeg oat oatmeal octopus okra olive \\\n",
"65 0 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 1 0 \n",
"69 0 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 0 \n",
"57687 0 0 1 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 0 0 \n",
"\n",
" olive_oil onion orange orange_flower orange_juice orange_peel \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 1 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 1 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 1 0 0 0 0 \n",
"\n",
" oregano ouzo oyster palm papaya parmesan_cheese parsley parsnip \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 1 0 \n",
"57687 0 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 0 \n",
"\n",
" passion_fruit pea peach peanut peanut_butter peanut_oil pear \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" pear_brandy pecan pelargonium pepper peppermint peppermint_oil \\\n",
"65 0 0 0 1 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 1 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 1 0 0 \n",
"\n",
" pimenta pimento pineapple pistachio plum popcorn porcini pork \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 1 \n",
"57688 0 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 0 \n",
"\n",
" pork_liver pork_sausage port_wine potato potato_chip prawn \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" prickly_pear provolone_cheese pumpkin quince radish raisin \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 1 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 1 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" rapeseed raspberry raw_beef red_algae red_bean red_kidney_bean \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 \n",
"\n",
" red_wine rhubarb rice roasted_almond roasted_beef \\\n",
"65 0 0 1 0 0 \n",
"66 0 0 1 0 0 \n",
"67 0 0 1 0 0 \n",
"68 0 0 1 0 0 \n",
"69 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
"57686 0 0 0 0 0 \n",
"57687 0 0 0 0 0 \n",
"57688 0 0 1 0 0 \n",
"57689 0 0 0 0 0 \n",
"57690 0 0 1 0 0 \n",
"\n",
" roasted_hazelnut roasted_meat roasted_nut roasted_peanut \\\n",
"65 0 0 0 0 \n",
"66 0 0 0 0 \n",
"67 0 0 0 0 \n",
"68 0 0 0 0 \n",
"69 0 0 0 0 \n",
"... ... ... ... ... \n",
"57686 0 0 0 0 \n",
"57687 0 0 0 0 \n",
"57688 0 0 0 0 \n",
"57689 0 0 0 0 \n",
"57690 0 0 0 0 \n",
"\n",
" roasted_pecan roasted_pork roasted_sesame_seed romano_cheese root \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
"57686 0 0 0 0 0 \n",
"57687 0 0 0 0 0 \n",
"57688 0 0 0 0 0 \n",
"57689 0 0 0 0 0 \n",
"57690 0 0 0 0 0 \n",
"\n",
" roquefort_cheese rose rosemary rum rutabaga rye_bread rye_flour \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" saffron sage sake salmon salmon_roe sassafras sauerkraut savory \\\n",
"65 0 0 0 0 0 0 0 0 \n",
"66 1 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 1 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 0 \n",
"57688 0 0 1 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 0 \n",
"\n",
" scallion scallop sea_algae seaweed seed sesame_oil sesame_seed \\\n",
"65 0 0 0 0 1 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 1 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 1 0 0 1 0 1 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 1 \n",
"\n",
" shallot sheep_cheese shellfish sherry shiitake shrimp smoke \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 1 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" smoked_fish smoked_salmon smoked_sausage sour_cherry sour_milk \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
"57686 0 0 0 0 0 \n",
"57687 0 0 0 0 0 \n",
"57688 0 0 0 0 0 \n",
"57689 0 0 0 0 0 \n",
"57690 0 0 0 0 0 \n",
"\n",
" soy_sauce soybean soybean_oil spearmint squash squid star_anise \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 1 1 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 1 1 0 0 0 0 0 \n",
"\n",
" starch strawberry strawberry_jam strawberry_juice sturgeon_caviar \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
"57686 1 0 0 0 0 \n",
"57687 0 0 0 0 0 \n",
"57688 0 0 0 0 0 \n",
"57689 0 0 0 0 0 \n",
"57690 0 0 0 0 0 \n",
"\n",
" sumac sunflower_oil sweet_potato swiss_cheese tabasco_pepper \\\n",
"65 0 0 0 0 0 \n",
"66 0 0 0 0 0 \n",
"67 0 0 0 0 0 \n",
"68 0 0 0 0 0 \n",
"69 0 0 0 0 0 \n",
"... ... ... ... ... ... \n",
"57686 0 0 0 0 0 \n",
"57687 0 0 0 0 0 \n",
"57688 0 0 0 0 0 \n",
"57689 0 0 0 0 0 \n",
"57690 0 0 0 0 0 \n",
"\n",
" tamarind tangerine tarragon tea tequila thai_pepper thyme \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 \n",
"57690 0 0 0 0 0 0 0 \n",
"\n",
" tomato tomato_juice truffle tuna turkey turmeric turnip vanilla \\\n",
"65 1 0 0 0 0 1 0 0 \n",
"66 0 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 0 \n",
"68 1 0 0 0 0 1 0 0 \n",
"69 0 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 0 0 0 0 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 0 0 \n",
"57689 0 0 0 0 0 0 0 0 \n",
"57690 0 0 0 1 0 0 0 0 \n",
"\n",
" veal vegetable vegetable_oil vinegar violet walnut wasabi \\\n",
"65 0 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 0 \n",
"68 0 0 0 0 0 0 0 \n",
"69 0 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... ... \n",
"57686 0 0 1 0 0 0 0 \n",
"57687 0 0 0 0 0 0 0 \n",
"57688 0 0 1 1 0 0 0 \n",
"57689 0 0 0 1 0 0 0 \n",
"57690 0 0 1 0 0 0 1 \n",
"\n",
" watercress watermelon wheat wheat_bread whiskey white_bread \\\n",
"65 0 0 0 0 0 0 \n",
"66 0 0 0 0 0 0 \n",
"67 0 0 0 0 0 0 \n",
"68 0 0 1 0 0 0 \n",
"69 0 0 0 0 0 0 \n",
"... ... ... ... ... ... ... \n",
"57686 0 0 1 0 0 0 \n",
"57687 0 0 0 0 0 0 \n",
"57688 0 0 0 0 0 0 \n",
"57689 0 0 1 0 0 0 \n",
"57690 0 0 1 0 0 0 \n",
"\n",
" white_wine whole_grain_wheat_flour wine wood yam yeast yogurt \\\n",
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