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Neeratyoy/Using OpenML 2.ipynb

Created October 25, 2019 15:54
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Using OpenML 2.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 4,
"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>did</th>\n",
" <th>name</th>\n",
" <th>version</th>\n",
" <th>uploader</th>\n",
" <th>status</th>\n",
" <th>format</th>\n",
" <th>MajorityClassSize</th>\n",
" <th>MaxNominalAttDistinctValues</th>\n",
" <th>MinorityClassSize</th>\n",
" <th>NumberOfClasses</th>\n",
" <th>NumberOfFeatures</th>\n",
" <th>NumberOfInstances</th>\n",
" <th>NumberOfInstancesWithMissingValues</th>\n",
" <th>NumberOfMissingValues</th>\n",
" <th>NumberOfNumericFeatures</th>\n",
" <th>NumberOfSymbolicFeatures</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>61</th>\n",
" <td>61</td>\n",
" <td>iris</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>active</td>\n",
" <td>ARFF</td>\n",
" <td>50.0</td>\n",
" <td>3.0</td>\n",
" <td>50.0</td>\n",
" <td>3.0</td>\n",
" <td>5.0</td>\n",
" <td>150.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>4.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41950</th>\n",
" <td>41950</td>\n",
" <td>iris_test_upload</td>\n",
" <td>1</td>\n",
" <td>4030</td>\n",
" <td>active</td>\n",
" <td>ARFF</td>\n",
" <td>50.0</td>\n",
" <td>3.0</td>\n",
" <td>50.0</td>\n",
" <td>3.0</td>\n",
" <td>5.0</td>\n",
" <td>150.0</td>\n",
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" <td>0.0</td>\n",
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" <td>1.0</td>\n",
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" <th>451</th>\n",
" <td>451</td>\n",
" <td>irish</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>active</td>\n",
" <td>ARFF</td>\n",
" <td>278.0</td>\n",
" <td>10.0</td>\n",
" <td>222.0</td>\n",
" <td>2.0</td>\n",
" <td>6.0</td>\n",
" <td>500.0</td>\n",
" <td>32.0</td>\n",
" <td>32.0</td>\n",
" <td>2.0</td>\n",
" <td>4.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>969</th>\n",
" <td>969</td>\n",
" <td>iris</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>active</td>\n",
" <td>ARFF</td>\n",
" <td>100.0</td>\n",
" <td>2.0</td>\n",
" <td>50.0</td>\n",
" <td>2.0</td>\n",
" <td>5.0</td>\n",
" <td>150.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>4.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41510</th>\n",
" <td>41510</td>\n",
" <td>iris</td>\n",
" <td>9</td>\n",
" <td>348</td>\n",
" <td>active</td>\n",
" <td>ARFF</td>\n",
" <td>NaN</td>\n",
" <td>3.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5.0</td>\n",
" <td>150.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>4.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
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"</div>"
],
"text/plain": [
" did name version uploader status format \\\n",
"61 61 iris 1 1 active ARFF \n",
"41950 41950 iris_test_upload 1 4030 active ARFF \n",
"451 451 irish 1 2 active ARFF \n",
"969 969 iris 3 2 active ARFF \n",
"41510 41510 iris 9 348 active ARFF \n",
"\n",
" MajorityClassSize MaxNominalAttDistinctValues MinorityClassSize \\\n",
"61 50.0 3.0 50.0 \n",
"41950 50.0 3.0 50.0 \n",
"451 278.0 10.0 222.0 \n",
"969 100.0 2.0 50.0 \n",
"41510 NaN 3.0 NaN \n",
"\n",
" NumberOfClasses NumberOfFeatures NumberOfInstances \\\n",
"61 3.0 5.0 150.0 \n",
"41950 3.0 5.0 150.0 \n",
"451 2.0 6.0 500.0 \n",
"969 2.0 5.0 150.0 \n",
"41510 NaN 5.0 150.0 \n",
"\n",
" NumberOfInstancesWithMissingValues NumberOfMissingValues \\\n",
"61 0.0 0.0 \n",
"41950 0.0 0.0 \n",
"451 32.0 32.0 \n",
"969 0.0 0.0 \n",
"41510 0.0 0.0 \n",
"\n",
" NumberOfNumericFeatures NumberOfSymbolicFeatures \n",
"61 4.0 1.0 \n",
"41950 4.0 1.0 \n",
"451 2.0 4.0 \n",
"969 4.0 1.0 \n",
"41510 4.0 1.0 "
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Filtering dataset list to have 'iris' in the 'name' column\n",
"# then sorting the list based on the 'version'\n",
"d[d['name'].str.contains('iris')].sort_values(by='version').head()"
]
}
],
"metadata": {
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"display_name": "Python 3",
"language": "python",
"name": "python3"
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"codemirror_mode": {
"name": "ipython",
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"file_extension": ".py",
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"pygments_lexer": "ipython3",
"version": "3.6.8"
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"nbformat": 4,
"nbformat_minor": 2
}
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