質問編集履歴

csvを伏せました。

2019/06/22 10:50

投稿

Quad

スコア18

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@@ -176,7 +176,9 @@
 ```
-csv
+csvです。[他のサイト](https://news.mynavi.jp/article/Python_ML-5/)が公開しているデータなので一応伏せています。
+[ここ](http://news.mynavi.jp/series/Python_ML/005/resources/consumerPrices_tree.csv)からダウンロードできます。
 ```
@@ -186,191 +188,9 @@
 北 海 道,98.7,82.6,116.3,99.3,103.8,100.2,99.5,93.2,97.1,100.9,1
-青 森 県,97.4,95.7,109,96.2,97.1,101,100.5,93.2,96.4,97.8,0
-岩 手 県,96.6,89.4,111,102.2,97.8,100.4,99.7,90.1,99.8,97,0
-宮 城 県,97.2,97.1,101.3,104,95.6,100.9,97.5,99.5,99.3,99.2,1
-秋 田 県,97.3,86.1,107.2,103.1,102.4,98.9,98,87.1,98,100.2,0
-山 形 県,101.7,91.3,111.6,93.5,105.7,97,99.7,105.4,99.1,97.6,0
-福 島 県,100,92.5,108.6,100.9,106.2,99.9,98.8,90.9,96.6,102.9,0
-茨 城 県,99.1,96.3,101.9,93,97.5,98,96.7,89.5,95.2,101.4,0
-栃 木 県,99.5,87.9,96.7,100.3,115.7,99.1,97.7,101.9,94.9,99.8,0
-群 馬 県,99.1,87.5,91.2,96.9,98.2,100,97.1,79.9,95.5,98.9,0
-埼 玉 県,100.9,109.3,93,101.8,103.1,101,100.6,103.7,104.5,100.7,1
-千 葉 県,100.6,102,100.4,101,91.7,101.1,99.1,97.9,102,99.6,1
-東 京 都,103.1,133.2,94.6,102.8,96.5,101.7,104.4,108.3,104,99.5,1
-神奈川県,102.5,124.7,97.6,101.9,101.7,99,104.4,112.6,104.8,102.1,1
-新 潟 県,100.2,90.9,98.5,97.5,105.9,99.4,98.1,97.1,99.5,100.6,1
-富 山 県,100.4,87.3,102.2,101.7,100,101.8,97.7,85.7,97.2,102.6,0
-石 川 県,103,86,103,99.6,107.2,101.9,98.9,103.2,98.2,101.3,0
-福 井 県,103.1,86.2,93.5,108.7,99.1,102.4,99.1,103.4,95.2,101.9,0
-山 梨 県,99.7,94.3,94.7,100.2,107.2,97.4,98.4,87.7,98.3,100,0
-長 野 県,94.1,87.1,99.7,97,102.5,98.3,99.8,94.7,98.1,102.6,0
-岐 阜 県,97.4,84.1,92.9,94.1,101.9,99.3,100.4,92.5,97.4,99.8,0
-静 岡 県,98.7,97.2,96.8,98,97.4,100.2,99.5,82,99.9,98.4,1
+......
-愛 知 県,98.2,95.3,95.7,97.2,99.6,99.7,98.5,96.4,100.7,99.2,1
-三 重 県,100.4,95.6,96.8,98.6,99.4,99.1,98.7,98.9,95.7,98.1,0
-滋 賀 県,99.5,88.3,101.4,97.6,104.3,100.6,100.6,109,96.8,101.1,0
-京 都 府,100.5,92.3,101.4,100.4,98.7,97.6,102.6,112.3,101.9,101.4,1
-大 阪 府,99.4,97.6,98.7,99.9,99.1,99.6,101,108.9,102.3,96.6,1
-兵 庫 県,99.9,100,99.5,101.7,105.4,98.4,100.8,102.2,101.5,103.5,1
-奈 良 県,94.3,84.2,101.9,98.9,93.3,99.3,100.4,95.2,99.3,99.3,0
-和歌山県,100.9,99,102,100,99.5,101.3,98.9,105.1,96.8,99.6,0
+......
-鳥 取 県,102.3,80.2,104.4,100.4,105.9,100.4,97.9,88.5,94.6,99.2,0
-島 根 県,102.4,84.2,110.5,99.2,101.3,99.2,99.5,97.9,97.2,101,0
-岡 山 県,99,86.3,106.4,100.2,106.6,101.2,95.7,87.4,96,101.2,1
-広 島 県,101.9,89.1,104.6,97.2,95.5,99.9,99.3,97.6,96.4,99.4,1
-山 口 県,101.3,89.1,108.2,99.6,106.4,103.1,97.4,86,95.5,99.5,0
-徳 島 県,100.5,89.2,104.6,101.7,107.7,98.2,97,97.8,98.3,99.8,0
-香 川 県,98.4,85.7,105.6,100.3,96.4,100.3,100,95.3,96.4,103,0
-愛 媛 県,100.1,85.7,107.4,103,100.1,99.8,97.7,91.2,98.4,97.7,0
-高 知 県,102.6,88.9,102.6,98.2,102,100.8,97.5,93.6,96.8,100.5,0
-福 岡 県,95.7,85.3,105.3,100.2,97,100,97.2,95.8,97.2,101.7,1
-佐 賀 県,97,82.6,107.6,96.1,103.9,98.6,98.2,94.8,92.1,98.8,0
-長 崎 県,99.7,92.8,110.4,100.8,112.3,100.1,100.4,87.1,96.2,101.8,0
-熊 本 県,101.9,81.8,102.3,102.9,101.3,100.1,99.3,92.9,95.4,100.2,1
-大 分 県,98.9,83.8,104.3,99.6,95.6,97.2,97.1,106.5,92.9,97.8,0
-宮 崎 県,97.9,85.2,100.5,101.3,97.5,98.9,97.8,89.6,91.1,97.2,0
-鹿児島県,99.3,80.5,100.6,94.1,90.1,100.4,99.2,91.3,92.3,96.9,0
-沖 縄 県,103.5,84.8,101.4,99.4,100.2,100.8,98.2,93.6,95.8,94.8,0
 ```

エラーメッセージを全文、CSVファイルの全体を書きました。

2019/06/22 10:49

投稿

Quad

スコア18

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@@ -10,13 +10,73 @@
-### 発生している問題・エラーメッセージ
+### 実行結果・エラーメッセージ
-```
+```
+0.7368421052631579
+0.9642857142857143
+       変数       重要度
+0      食料  0.000000
+1      住居  0.000000
+2   水道光熱費  0.183482
+3  家具家事用品  0.000000
+4      衣類  0.095694
+5    保険医療  0.000000
+6    交通通信  0.000000
+7      教育  0.000000
+8    教養娯楽  0.720824
+9     諸雑費  0.000000
+---------------------------------------------------------------------------
+ValueError                                Traceback (most recent call last)
+<ipython-input-104-2d435d3c4d5a> in <module>()
+     36      target_name='大都市圏分類',
+     37      feature_names=X_train.columns,
+---> 38      class_names=[str(i) for i in class_names]
+     39     )
+     40
+4 frames
+/usr/local/lib/python3.6/dist-packages/sklearn/tree/tree.py in _validate_X_predict(self, X, check_input)
+    400                              "match the input. Model n_features is %s and "
+    401                              "input n_features is %s "
+--> 402                              % (self.n_features_, n_features))
+    403
+    404         return X
-ValueError: Number of features of the model must match the input. Model n_features is 4 and input n_features is 10
+ValueError: Number of features of the model must match the input. Model n_features is 4 and input n_features is 10
 ```
@@ -72,6 +132,8 @@
 model.fit(X_train, Y_train)
+model.predict(X_train)
 from sklearn import metrics
 print(metrics.accuracy_score(Y_test, model.predict(X_test)))
@@ -88,21 +150,21 @@
 class_names = Y_train.unique().tolist()
-viz = dtreeviz(classifier,
+viz = dtreeviz(
+    classifier,
-               X_train,
+     X_train,
-               Y_train,
+     Y_train,
-               target_name='variety',
+     target_name='大都市圏分類',
-               feature_names=X_train.columns,
+     feature_names=X_train.columns,
-               class_names=[str(i) for i in class_names]
+     class_names=[str(i) for i in class_names]
-              )
+    )
@@ -110,6 +172,8 @@
 ```
 csv
@@ -118,9 +182,195 @@
 都道府県,食料,住居,水道光熱費,家具家事用品,衣類,保険医療,交通通信,教育,教養娯楽,諸雑費,大都市圏分類
+北 海 道,98.7,82.6,116.3,99.3,103.8,100.2,99.5,93.2,97.1,100.9,1
+青 森 県,97.4,95.7,109,96.2,97.1,101,100.5,93.2,96.4,97.8,0
+岩 手 県,96.6,89.4,111,102.2,97.8,100.4,99.7,90.1,99.8,97,0
+宮 城 県,97.2,97.1,101.3,104,95.6,100.9,97.5,99.5,99.3,99.2,1
+秋 田 県,97.3,86.1,107.2,103.1,102.4,98.9,98,87.1,98,100.2,0
+山 形 県,101.7,91.3,111.6,93.5,105.7,97,99.7,105.4,99.1,97.6,0
+福 島 県,100,92.5,108.6,100.9,106.2,99.9,98.8,90.9,96.6,102.9,0
+茨 城 県,99.1,96.3,101.9,93,97.5,98,96.7,89.5,95.2,101.4,0
+栃 木 県,99.5,87.9,96.7,100.3,115.7,99.1,97.7,101.9,94.9,99.8,0
+群 馬 県,99.1,87.5,91.2,96.9,98.2,100,97.1,79.9,95.5,98.9,0
+埼 玉 県,100.9,109.3,93,101.8,103.1,101,100.6,103.7,104.5,100.7,1
+千 葉 県,100.6,102,100.4,101,91.7,101.1,99.1,97.9,102,99.6,1
+東 京 都,103.1,133.2,94.6,102.8,96.5,101.7,104.4,108.3,104,99.5,1
+神奈川県,102.5,124.7,97.6,101.9,101.7,99,104.4,112.6,104.8,102.1,1
+新 潟 県,100.2,90.9,98.5,97.5,105.9,99.4,98.1,97.1,99.5,100.6,1
+富 山 県,100.4,87.3,102.2,101.7,100,101.8,97.7,85.7,97.2,102.6,0
+石 川 県,103,86,103,99.6,107.2,101.9,98.9,103.2,98.2,101.3,0
+福 井 県,103.1,86.2,93.5,108.7,99.1,102.4,99.1,103.4,95.2,101.9,0
+山 梨 県,99.7,94.3,94.7,100.2,107.2,97.4,98.4,87.7,98.3,100,0
+長 野 県,94.1,87.1,99.7,97,102.5,98.3,99.8,94.7,98.1,102.6,0
+岐 阜 県,97.4,84.1,92.9,94.1,101.9,99.3,100.4,92.5,97.4,99.8,0
-......
+静 岡 県,98.7,97.2,96.8,98,97.4,100.2,99.5,82,99.9,98.4,1
+愛 知 県,98.2,95.3,95.7,97.2,99.6,99.7,98.5,96.4,100.7,99.2,1
+三 重 県,100.4,95.6,96.8,98.6,99.4,99.1,98.7,98.9,95.7,98.1,0
+滋 賀 県,99.5,88.3,101.4,97.6,104.3,100.6,100.6,109,96.8,101.1,0
+京 都 府,100.5,92.3,101.4,100.4,98.7,97.6,102.6,112.3,101.9,101.4,1
+大 阪 府,99.4,97.6,98.7,99.9,99.1,99.6,101,108.9,102.3,96.6,1
+兵 庫 県,99.9,100,99.5,101.7,105.4,98.4,100.8,102.2,101.5,103.5,1
+奈 良 県,94.3,84.2,101.9,98.9,93.3,99.3,100.4,95.2,99.3,99.3,0
-......
+和歌山県,100.9,99,102,100,99.5,101.3,98.9,105.1,96.8,99.6,0
+鳥 取 県,102.3,80.2,104.4,100.4,105.9,100.4,97.9,88.5,94.6,99.2,0
+島 根 県,102.4,84.2,110.5,99.2,101.3,99.2,99.5,97.9,97.2,101,0
+岡 山 県,99,86.3,106.4,100.2,106.6,101.2,95.7,87.4,96,101.2,1
+広 島 県,101.9,89.1,104.6,97.2,95.5,99.9,99.3,97.6,96.4,99.4,1
+山 口 県,101.3,89.1,108.2,99.6,106.4,103.1,97.4,86,95.5,99.5,0
+徳 島 県,100.5,89.2,104.6,101.7,107.7,98.2,97,97.8,98.3,99.8,0
+香 川 県,98.4,85.7,105.6,100.3,96.4,100.3,100,95.3,96.4,103,0
+愛 媛 県,100.1,85.7,107.4,103,100.1,99.8,97.7,91.2,98.4,97.7,0
+高 知 県,102.6,88.9,102.6,98.2,102,100.8,97.5,93.6,96.8,100.5,0
+福 岡 県,95.7,85.3,105.3,100.2,97,100,97.2,95.8,97.2,101.7,1
+佐 賀 県,97,82.6,107.6,96.1,103.9,98.6,98.2,94.8,92.1,98.8,0
+長 崎 県,99.7,92.8,110.4,100.8,112.3,100.1,100.4,87.1,96.2,101.8,0
+熊 本 県,101.9,81.8,102.3,102.9,101.3,100.1,99.3,92.9,95.4,100.2,1
+大 分 県,98.9,83.8,104.3,99.6,95.6,97.2,97.1,106.5,92.9,97.8,0
+宮 崎 県,97.9,85.2,100.5,101.3,97.5,98.9,97.8,89.6,91.1,97.2,0
+鹿児島県,99.3,80.5,100.6,94.1,90.1,100.4,99.2,91.3,92.3,96.9,0
+沖 縄 県,103.5,84.8,101.4,99.4,100.2,100.8,98.2,93.6,95.8,94.8,0
 ```

タイトル追記

2019/06/22 10:24

投稿

Quad

スコア18

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	@@ -1 +1 @@
1	- scikit-learnで決定木を実装したいがエラー
1	+ ValueError: Number of features of the model must match the input. scikit-learnで決定木を実装したいがエラー

test CHANGED Viewed

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csvデータを分かりやすくしました

2019/06/22 06:42

投稿

Quad

スコア18

test CHANGED Viewed

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@@ -112,7 +112,9 @@
 ```
-```csvデータ
+csv
+```
 都道府県,食料,住居,水道光熱費,家具家事用品,衣類,保険医療,交通通信,教育,教養娯楽,諸雑費,大都市圏分類