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@MurilloGroupMSU
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Red or White? Machine Learning for Wine
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Choose one of the classifiers below, more information on how they work is at this [link](https://scikit-learn.org/stable/supervised_learning.html). Find out what parameters can be tuned for each of the classififers and using [GridSearchCV](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html), create the best classifier you can.\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"#Numeric Library\n",
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"#Pipeline Libraries\n",
"from sklearn.decomposition import PCA, KernelPCA\n",
"from sklearn.utils import resample\n",
"from sklearn.model_selection import GridSearchCV, train_test_split, ShuffleSplit\n",
"from sklearn.feature_selection import RFE\n",
"import sklearn.preprocessing as skpp\n",
"\n",
"#classifier Libraries\n",
"from sklearn import svm\n",
"from sklearn import neighbors\n",
"from sklearn import tree\n",
"from sklearn.neural_network import MLPClassifier\n",
"\n",
"#Ploting Libraries\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"def normalize(data,data_min,data_max): \n",
" # scale all feature values to range [0,1]\n",
" return (data - data_min)/(data_max - data_min)\n",
"\n",
"def make_plot(data_t, y_t, best_clf, clf_name, clf_flag, score):\n",
" \"\"\"Make colormap.\n",
" Parameters\n",
" ----------\n",
" data_t : pandas.DataFrame, numpy.ndarray\n",
" Dataset to plot.\n",
" y_t : numpy.ndarray\n",
" Data labels.\n",
" best_clf : sklearn.Classifier\n",
" Classifier.\n",
" clf_name : str\n",
" Classifier name to be printed on plot title.\n",
" clf_flag : str\n",
" Feature classificiation???\n",
" score : float\n",
" Classifier score in percent.\n",
" Returns\n",
" -------\n",
" ax : matplotlib.Axes\n",
" Axes handle\n",
" \"\"\"\n",
" fsz = 20\n",
" # Update rcParams with the necessary values\n",
" plt.rc('font', size=fsz) # controls default text sizes\n",
" plt.rc('axes', titlesize=fsz) # fontsize of the axes title\n",
" plt.rc('axes', labelsize=fsz) # fontsize of the x and y labels\n",
" plt.rc('xtick', labelsize=fsz - 2) # fontsize of the tick labels\n",
" plt.rc('ytick', labelsize=fsz - 2) # fontsize of the tick labels\n",
" fig, ax = plt.subplots(1,1, figsize=(16,10))\n",
" # Make a scatterplot of the dataset\n",
" ax.scatter(\n",
" data_t[:,0],\n",
" data_t[:,1],\n",
" c = y_t,\n",
" s = 20,\n",
" zorder=10, \n",
" edgecolors='black')\n",
" #\n",
" xx,yy = np.meshgrid(\n",
" np.linspace(data_t[:,0].min(),data_t[:,0].max(), 100),\n",
" np.linspace(data_t[:,1].min(),data_t[:,1].max(), 100))\n",
" p = best_clf.predict(np.stack([xx.ravel(),yy.ravel()]).T)\n",
" # plt.contourf(xx,yy,p.reshape(xx.shape),alpha=.7,levels=[-1,0,1,2],cmap='coolwarm')\n",
" clr_map = ax.contourf(xx,yy,p.reshape(xx.shape),alpha=.7,cmap='viridis')\n",
" # Make colorbar\n",
" cbar = plt.colorbar(clr_map, ax=ax)\n",
" cbar.ax.tick_params(labelsize= 18)\n",
" # \n",
" if clf_flag == 'PCA':\n",
" ax_kwargs = {'title' : \"{} classifier (PCA | {:.4f})\".format(clf_name.upper(), score ),\n",
" 'xlabel': \"PCA 1\", \n",
" 'ylabel': \"PCA 2\"}\n",
" figname='{}_pca2.png'.format(clf_name.lower() ) \n",
" elif clf_flag == 'RFE':\n",
" ax_kwargs = {'title' : \"{} classifier (RFE | {:.4f})\".format(clf_name.upper(), score ),\n",
" 'xlabel': RFE1name, \n",
" 'ylabel': RFE2name}\n",
" figname='{}_rfe2.png'.format(clf_name.lower() )\n",
" ax.set( **ax_kwargs)\n",
" fig.savefig(figname)\n",
" return ax"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Gather Meta Data for Downsampling Lopsided Class"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Ndat 6497 | r_size = 1599 | w_size = 4898\n"
]
}
],
"source": [
"# Load Data\n",
"po_wine_r = pd.read_csv('./Portuguese/red.csv')\n",
"po_wine_w = pd.read_csv('./Portuguese/white.csv')\n",
"\n",
"# Clean Data\n",
"po_wine_r = po_wine_r.drop('Unnamed: 0',axis=1)\n",
"po_wine_w = po_wine_w.drop('Unnamed: 0',axis=1)\n",
"\n",
"# Collect Metadata\n",
"[r_size, Nfeat] = np.shape(po_wine_r)\n",
"[w_size, Nfeat] = np.shape(po_wine_w)\n",
"print(\"Ndat %d | r_size = %d | w_size = %d\" % (r_size + w_size, r_size, w_size))\n",
"\n",
"# Downsample majority class\n",
"df_majority=po_wine_w\n",
"df_minority=po_wine_r\n",
"\n",
"# Do only one down sample to get a fixed data set. \n",
"majority_downsampled = resample(df_majority, \n",
" replace=False, # sample without replacement\n",
" n_samples=r_size, # to match minority class\n",
" random_state=9653454\n",
" ) # reproducible results\n",
"po_wine = pd.concat([majority_downsampled, df_minority])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Determine Best Features to CLF With RFE"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'fixed acidity': 0, 'volatile acidity': 62, 'citric acid': 0, 'residual sugar': 4, 'chlorides': 9, 'free sulfur dioxide': 0, 'total sulfur dioxide': 81, 'density': 42, 'pH': 0, 'sulphates': 2, 'alcohol': 0, 'quality': 0, 'type': 0}\n"
]
}
],
"source": [
"score = dict()\n",
"for name in po_wine_r.columns:\n",
" score[name]=0\n",
" \n",
"N=100 # number of Down samples to attempt!\n",
"#This part of code takes a bit to \n",
"for i in range(N):\n",
" seed = np.random.randint(1235123,9182374)\n",
" majority_downsampled = resample(df_majority, \n",
" replace=False, # sample without replacement\n",
" n_samples=r_size, # to match minority class\n",
" random_state=seed) # reproducible results\n",
" po_wine = pd.concat([majority_downsampled, df_minority])\n",
" #Collect labels and locations\n",
" y = po_wine.loc[ : , po_wine.columns == 'type'] \n",
" y=y.replace('red',0) \n",
" y=y.replace('white',1)\n",
" y=np.array(y)\n",
"\n",
" # Split Data and Normalize!\n",
" data = np.array(po_wine.drop('type', axis = 1) )\n",
" X_train, X_test, y_train, y_test = train_test_split(data, y, test_size=0.20, random_state=13498573)\n",
" X_train_min = X_train.min(axis=0)\n",
" X_train_max = X_train.max(axis=0)\n",
" X_train = normalize(X_train,X_train_min,X_train_max)\n",
" X_test = normalize(X_test,X_train_min,X_train_max)\n",
" \n",
" # Recursive Feature Elimination Ranking\n",
" svc = svm.SVC(kernel=\"linear\", C=1)\n",
" rfe = RFE(estimator=svc, n_features_to_select=2, step=1)\n",
" rfe_fit=rfe.fit(X_train, y_train.ravel())\n",
" ranking=rfe.ranking_\n",
"\n",
" bestpos=np.where(ranking == ranking.min())\n",
" RFE1name=po_wine.columns[bestpos][0]\n",
" RFE2name=po_wine.columns[bestpos][1]\n",
" score[RFE1name] += 1 \n",
" score[RFE2name] += 1 \n",
"\n",
"\n",
"print(score)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Exploratory Data Analysis"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'volatile acidity')"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 720x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x720 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"#Plot EVERYTHING\n",
"#sns.pairplot(po_wine, hue=\"type\")\n",
"\n",
"#Select your own downsample Seed!!\n",
"seed = 123456789\n",
"majority_downsampled = resample(df_majority, \n",
" replace=False, # sample without replacement\n",
" n_samples=r_size, # to match minority class\n",
" random_state=seed) # reproducible results\n",
"po_wine = pd.concat([majority_downsampled, df_minority])\n",
"\n",
"#Create Data as NP Arrays\n",
"data = np.array(po_wine.drop('type', axis = 1) )\n",
"RFE1name='total sulfur dioxide'\n",
"RFE2name='volatile acidity'\n",
"RFEdata = np.array(po_wine[[RFE1name,RFE2name]])\n",
"y = po_wine.loc[ : , po_wine.columns == 'type'] \n",
"y=np.array(y.replace('white',1).replace('red',0) )\n",
"\n",
"\n",
"seed=1678573 #fix seed so you have the same split\n",
"split=0.2\n",
"#PCA standardization and rotation\n",
"X_pca_train, X_pca_test, y_pca_train, y_pca_test = train_test_split(data, y, test_size=split, random_state=seed)\n",
"X_pca_train_min = X_pca_train.min(axis=0)\n",
"X_pca_train_max = X_pca_train.max(axis=0)\n",
"X_pca_train = normalize(X_pca_train, X_pca_train_min, X_pca_train_max)\n",
"X_pca_test = normalize(X_pca_test, X_pca_train_min, X_pca_train_max)\n",
"# PCA transform the test and train data\n",
"pca_transformer = PCA(n_components=2) #\n",
"X_pca_train = pca_transformer.fit_transform(X_pca_train)\n",
"X_pca_test = pca_transformer.transform(X_pca_test)\n",
"\n",
"#RFE selection and normalization\n",
"RFEtrain, RFEtest, y_train, y_test = train_test_split(RFEdata, y, test_size=split, random_state=seed)\n",
"RFEtrain_min = RFEtrain.min(axis=0)\n",
"RFEtrain_max = RFEtrain.max(axis=0)\n",
"RFEtrain = normalize(RFEtrain, RFEtrain_min, RFEtrain_max)\n",
"RFEtest = normalize(RFEtest, RFEtrain_min, RFEtrain_max)\n",
"\n",
"\n",
"#Collect Labels\n",
"r_train_loc=(y_train==0).T[0] # determine position of reds\n",
"w_train_loc=(y_train==1).T[0] #determine position of whites\n",
"r_test_loc=(y_test==0).T[0] # determine position of reds\n",
"w_test_loc=(y_test==1).T[0] #determine position of whites\n",
"\n",
"#plot EDA\n",
"fig = plt.figure(figsize=(10,10))\n",
"class0 = X_pca_train[r_train_loc,:]\n",
"class1 = X_pca_train[w_train_loc,:]\n",
"plt.scatter(class0[:,0],class0[:,1], alpha=1)\n",
"plt.scatter(class1[:,0],class1[:,1], alpha=.2)\n",
"plt.title(\"Principal Component Analysis\",fontsize=24)\n",
"plt.xlabel(\"Principle Component 1\",fontsize=20)\n",
"plt.ylabel(\"Principle Component 2\",fontsize=20)\n",
"\n",
"fig = plt.figure(figsize=(10,10))\n",
"class0 = RFEtrain[r_train_loc,:]\n",
"class1 = RFEtrain[w_train_loc,:]\n",
"plt.scatter(class0[:,0],class0[:,1], alpha=1)\n",
"plt.scatter(class1[:,0],class1[:,1], alpha=.2)\n",
"plt.title(\"Recursive Feature Analysis\",fontsize=24)\n",
"plt.xlabel(RFE1name,fontsize=20)\n",
"plt.ylabel(RFE2name,fontsize=20)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# UQ quantification in Test-Train Split"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
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]
}
],
"source": [
"#Loop through the stuff to get \n",
"rfe_prcnt=np.zeros((100,1))\n",
"pca_prcnt=np.zeros((100,1))\n",
"for i in range(100):\n",
" print(i)\n",
" seed = np.random.randint(1235123,9182374)\n",
" split=0.2\n",
"\n",
" # RFE selection\n",
" X_rfe_train, X_rfe_test, y_rfe_train, y_rfe_test = train_test_split(RFEdata, y, test_size=split, random_state=seed)\n",
" X_rfe_train_min = X_rfe_train.min(axis=0)\n",
" X_rfe_train_max = X_rfe_train.max(axis=0)\n",
" X_rfe_train = normalize(X_rfe_train, X_rfe_train_min, X_rfe_train_max)\n",
" X_rfe_test = normalize(X_rfe_test, X_rfe_train_min, X_rfe_train_max)\n",
" \n",
" #PCA Stuff\n",
" X_pca_train, X_pca_test, y_pca_train, y_pca_test = train_test_split(data, y, test_size=split, random_state=seed)\n",
" X_pca_train_min = X_pca_train.min(axis=0)\n",
" X_pca_train_max = X_pca_train.max(axis=0)\n",
" X_pca_train = normalize(X_pca_train, X_pca_train_min, X_pca_train_max)\n",
" X_pca_test = normalize(X_pca_test, X_pca_train_min, X_pca_train_max)\n",
" # PCA transform the test and train data\n",
" pca_transformer = PCA(n_components=2) #\n",
" X_pca_train = pca_transformer.fit_transform(X_pca_train)\n",
" X_pca_test = pca_transformer.transform(X_pca_test)\n",
" \n",
" count=0\n",
" for X_train,y_train, X_test, y_test in zip([X_pca_train, X_rfe_train],[y_pca_train, y_rfe_train],[X_pca_test, X_rfe_test],[y_pca_test, y_rfe_test]):\n",
"\n",
" ss = ShuffleSplit(n_splits=5, random_state=91235017)\n",
" name='SVM'\n",
" if (name == 'KNN'):\n",
" clf = neighbors.KNeighborsClassifier(algorithm='ball_tree')\n",
" grid={'n_neighbors': [11, 12, 13, 14, 15 ], 'weights': ('uniform', 'distance'), 'leaf_size': (2, 5, 10, 15)}\n",
" if (name == 'SVM'):\n",
" clf = svm.SVC()\n",
" grid = {'C': [0.1, 1, 10, 100, 1000], 'kernel': ['linear']}\n",
" if (name == 'DT'):\n",
" clf = tree.DecisionTreeClassifier(random_state=7340984)\n",
" grid = {'criterion':['gini','entropy'],\n",
" 'splitter':['best','random'],\n",
" 'max_depth': np.arange(3, 15),\n",
" 'min_samples_split':np.arange(3, 15)}\n",
" if (name == 'MLP'):\n",
" clf = MLPClassifier(max_iter = 2000, early_stopping=True, n_iter_no_change=100, learning_rate_init=0.01, solver='adam')\n",
" grid = {\n",
" 'hidden_layer_sizes': [(20,3), (20,6), (20,9), # 20 Neurons\n",
" (50,3), (50,6), (50,9), # 50 Neurons\n",
" ],\n",
" 'activation' : ('logistic', 'tanh', 'relu'),\n",
" }\n",
"\n",
" \n",
" \n",
" grid_clf = GridSearchCV(clf, param_grid=grid, n_jobs=-1, cv=ss)\n",
" grid_clf.fit(X_train, y_train.ravel())\n",
" best_clf = grid_clf.best_estimator_\n",
" #print(best_clf.get_params(True))\n",
" p_test = best_clf.predict(X_test)\n",
"\n",
" if (count): #rfe\n",
" rfe_prcnt[i] = 1 - np.average(np.abs(p_test-y_test.ravel()))\n",
" if (i==-4):\n",
" make_plot(\n",
" data_t=X_test, \n",
" y_t = y_test, \n",
" best_clf=best_clf, \n",
" clf_name=name, \n",
" clf_flag='RFE',\n",
" score = np.float(rfe_prcnt[i,0]))\n",
" else: #pca\n",
" pca_prcnt[i] = 1 - np.average(np.abs(p_test-y_test.ravel()))\n",
" if (i==-4):\n",
" make_plot(\n",
" data_t=X_test, \n",
" y_t = y_test, \n",
" best_clf=best_clf, \n",
" clf_name=name, \n",
" clf_flag='PCA',\n",
" score = np.float(pca_prcnt[i,0]))\n",
" count=1\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Generate Plots of Classification Distributions"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"pca: 0.9281718750000002 0.02985761703354564\n",
"rfe: 0.9470937500000001 0.007558431240178082\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7fbdac36a668>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 720x720 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"rfe=np.array(rfe_prcnt) \n",
"pca=np.array(pca_prcnt)\n",
"pca_avg, pca_std = np.mean(pca), np.std(pca)\n",
"rfe_avg, rfe_std = np.mean(rfe), np.std(rfe)\n",
"print(\"pca:\",pca_avg, pca_std)\n",
"print(\"rfe:\",rfe_avg, rfe_std)\n",
"\n",
"fsz0=24\n",
"fsz1=16\n",
"fig, axs = plt.subplots(2, 1, tight_layout=True, figsize=(10,10))\n",
"# Distribution of CLF accuracy\n",
"bins=np.linspace(.93,1, 20)\n",
"axs[0].set_title(\"Distributions of \"+ name +\" classification accuracy\", fontsize=fsz0)\n",
"axs[0].set_xlabel(\"clf acc\", fontsize=fsz1)\n",
"axs[0].set_ylabel(\"counts\", fontsize=fsz1)\n",
"axs[0].hist(pca, bins=bins,label='pca: $\\mu$=%.3f | $\\sigma$=%.3f'%(pca_avg,pca_std),hatch='-',alpha=.5)\n",
"axs[0].hist(rfe, bins=bins,label='rfe: $\\mu$=%.3f | $\\sigma$=%.3f'%(rfe_avg,rfe_std),hatch='|',alpha=.5)\n",
"axs[0].legend(fontsize=fsz1)\n",
"\n",
"# Distribution of CLF accuracy difference\n",
"bins=np.linspace(-0.01,0.02, 20)\n",
"axs[1].set_title(\"Distributions of classification difference\", fontsize=fsz0)\n",
"axs[1].hist(pca-rfe, bins=bins,label='Acc Diff (pca - rfe)',color='red')\n",
"axs[1].set_xlabel(\"clf acc diff\", fontsize=fsz1)\n",
"axs[1].set_ylabel(\"counts\", fontsize=fsz1)\n",
"axs[1].legend(fontsize=fsz1)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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