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Data-Mining-Mushrooms/notebooks/mushroom_analysis.ipynb
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"Feature data: (8124, 22)\n",
"Target data: (8124,)\n"
]
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>cap_shape</th>\n",
" <th>cap_surface</th>\n",
" <th>cap_color</th>\n",
" <th>bruises</th>\n",
" <th>odor</th>\n",
" <th>gill_attachment</th>\n",
" <th>gill_spacing</th>\n",
" <th>gill_size</th>\n",
" <th>gill_color</th>\n",
" <th>stalk_shape</th>\n",
" <th>...</th>\n",
" <th>stalk_surface_below_ring</th>\n",
" <th>stalk_color_above_ring</th>\n",
" <th>stalk_color_below_ring</th>\n",
" <th>veil_type</th>\n",
" <th>veil_color</th>\n",
" <th>ring_number</th>\n",
" <th>ring_type</th>\n",
" <th>spore-print-color</th>\n",
" <th>population</th>\n",
" <th>habitat</th>\n",
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" cap_shape cap_surface cap_color bruises odor gill_attachment gill_spacing \\\n",
"0 x s n t p f c \n",
"1 x s y t a f c \n",
"2 b s w t l f c \n",
"3 x y w t p f c \n",
"4 x s g f n f w \n",
"\n",
" gill_size gill_color stalk_shape ... stalk_surface_below_ring \\\n",
"0 n k e ... s \n",
"1 b k e ... s \n",
"2 b n e ... s \n",
"3 n n e ... s \n",
"4 b k t ... s \n",
"\n",
" stalk_color_above_ring stalk_color_below_ring veil_type veil_color \\\n",
"0 w w p w \n",
"1 w w p w \n",
"2 w w p w \n",
"3 w w p w \n",
"4 w w p w \n",
"\n",
" ring_number ring_type spore-print-color population habitat \n",
"0 o p k s u \n",
"1 o p n n g \n",
"2 o p n n m \n",
"3 o p k s u \n",
"4 o e n a g \n",
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"text": [
"class\n",
"e 4208\n",
"p 3916\n",
"Name: count, dtype: int64\n"
]
}
],
"source": [
"from sklearn.datasets import fetch_openml\n",
"\n",
"mushroom = fetch_openml(data_id=43922, as_frame=True)\n",
"\n",
"X = mushroom.data\n",
"y = mushroom.target\n",
"\n",
"print(\"Feature data:\", X.shape)\n",
"print(\"Target data:\", y.shape)\n",
"display(X.head())\n",
"display(y.head())\n",
"print(y.value_counts())"
]
},
{
"cell_type": "code",
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"id": "69e1a254",
"metadata": {},
"outputs": [
{
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"Missing cells: 0\n",
"Rows with missing cells: 0\n",
"stalk_root\n",
"b 3776\n",
"? 2480\n",
"e 1120\n",
"c 556\n",
"r 192\n",
"Name: count, dtype: int64\n"
]
}
],
"source": [
"print(\"Missing cells:\", X.isna().sum().sum())\n",
"print(\"Rows with missing cells:\", X.isna().any(axis=1).sum())\n",
"print(X[\"stalk_root\"].value_counts(dropna=False))"
]
},
{
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"execution_count": null,
"id": "a3459b1e",
"metadata": {},
"outputs": [],
"source": [
"a = \"hello\"\n",
"print(a)"
]
}
],
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