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лаб3 поправка

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ujijrujijr 2024-10-26 21:28:59 +04:00
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commit afbceefcbd
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lab_3/Lab3.ipynb
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@ -113,14 +113,6 @@
"\n", "\n",
"false_count = df[df['hazardous'] == False].shape[0]\n", "false_count = df[df['hazardous'] == False].shape[0]\n",
"\n", "\n",
"# Выбор случайных индексов записей с `false` для удаления\n",
"# false_indices = df[df['hazardous'] == False].index\n",
"# indices_to_remove = np.random.choice(false_indices, size=false_count - true_count, replace=False)\n",
"\n",
"# Удаляем выбранные записи\n",
"# df = df.drop(indices_to_remove)\n",
"\n",
"#undersampling (удаление наблюдений с hazardous=true до количества наблюдений с hazardous=false)\n",
"\n", "\n",
"# разделение датасета на 2 части по hazardous\n", "# разделение датасета на 2 части по hazardous\n",
"from sklearn.utils import resample\n", "from sklearn.utils import resample\n",
@ -278,10 +270,6 @@
} }
], ],
"source": [ "source": [
"# print(df['orbiting_body'].unique())\n",
"# print(df['sentry_object'].unique())\n",
"# print(df['hazardous'].unique())\n",
"\n",
"#проверка на пропущенные значения\n", "#проверка на пропущенные значения\n",
"columns_with_nulls = []\n", "columns_with_nulls = []\n",
"for col in df.columns:\n", "for col in df.columns:\n",