質問編集履歴
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書式の改善
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```python
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import numpy as np
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import matplotlib.pyplot as plt
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from pandas import Series,DataFrame
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from sklearn.model_selection import train_test_split
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#RFCの実行
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from sklearn.ensemble import RandomForestClassifier
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# テストデータのyの予測値を求める
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実際のyの値と予測値を比較して、正答率を確認する
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from sklearn import metrics
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##out
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------------------
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##ここのoutでIndexError: index 11 is out of bounds for axis 0 with size 11が表示されるのはなぜですか？
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fti = clf.feature_importances_
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print('\t{0:20s} : {1:>.6f}'.format(feat, fti[i]))
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```
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#out
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この最後から三行のコードで
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g : 0.126408
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b : 0.118890
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s : 0.084900
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r1 : 0.120439
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g2 : 0.103459
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b2 : 0.103730
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s2 : 0.081350
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adult : 0.026797
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violence : 0.007142
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racy : 0.036175
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---------------------------------------------------------------------------
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IndexError Traceback (most recent call last)
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<ipython-input-55-a6d5980fb8b2> in <module>()
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3 for i, feat in enumerate(data):
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----> 4 print('\t{0:20s} : {1:>.6f}'.format(feat, fti[i]))
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IndexError: index 11 is out of bounds for axis 0 with size 11
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##説明変数のDATA、上から10行
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-----説明変数 訓練データ--------
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がでてしまします
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r g b s r1 g2 b2 s2 adult violence racy
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64 61 88 111 0.15 249 224 159 0.05 1 0 3
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37 189 201 227 0.13 20 14 18 0.06 0 0 1
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57 63 46 31 0.12 33 24 17 0.07 1 0 4
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34 249 234 211 0.10 85 84 85 0.06 1 0 4
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5 28 21 20 0.17 169 196 223 0.08 1 0 4
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87 83 89 88 0.13 237 238 238 0.12 0 0 1
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45 234 185 168 0.07 67 48 84 0.07 1 0 4
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36 252 241 14 0.06 106 32 30 0.05 1 0 3
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17 250 230 196 0.12 221 189 204 0.11 1 0 3
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8 244 236 230 0.07 77 42 32 0.03 1 0 3
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情報追加
test
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index errorで困っています
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#out
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r : 0.190711
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violence : 0.007142
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racy : 0.036175
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IndexError: index 11 is out of bounds for axis 0 with size 11
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##説明変数のDATA、上から10行
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-----説明変数 訓練データ--------
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(70, 11)
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r g b s r1 g2 b2 s2 adult violence racy
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64 61 88 111 0.15 249 224 159 0.05 1 0 3
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37 189 201 227 0.13 20 14 18 0.06 0 0 1
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57 63 46 31 0.12 33 24 17 0.07 1 0 4
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34 249 234 211 0.10 85 84 85 0.06 1 0 4
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5 28 21 20 0.17 169 196 223 0.08 1 0 4
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87 83 89 88 0.13 237 238 238 0.12 0 0 1
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45 234 185 168 0.07 67 48 84 0.07 1 0 4
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36 252 241 14 0.06 106 32 30 0.05 1 0 3
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17 250 230 196 0.12 221 189 204 0.11 1 0 3
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8 244 236 230 0.07 77 42 32 0.03 1 0 3
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