質問編集履歴
3
```に変更
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#出力内容（最後のほうにエラーがでています）
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ValueError: Classification metrics can't handle a mix of multiclass-multioutput and binary targets
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```
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#該当のソースコード（test.py）
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```
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from sklearn.model_selection import train_test_split
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joblib.dump(mlp,"model.pkl",compress=True)#モデルの保存
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#データセット作成コード(suuuji0420)
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```
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return suuji
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#備考
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コードの"""を'''になおしました。
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#出力内容（最後のほうにエラーがでています）
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'''
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---------2の画像をnumpy形式に変換し、Listに格納中---------
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@@ -94,13 +94,13 @@
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ValueError: Classification metrics can't handle a mix of multiclass-multioutput and binary targets
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#該当のソースコード（test.py）
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'''
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from sklearn.model_selection import train_test_split
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@@ -154,11 +154,11 @@
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joblib.dump(mlp,"model.pkl",compress=True)#モデルの保存
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-
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'''
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#データセット作成コード(suuuji0420)
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'''
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return suuji
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'''
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#備考
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出力内容を修正しました
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test
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#エラー
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#出力内容（最後のほうにエラーがでています）
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-
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-
"""
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"""
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---------2の画像をnumpy形式に変換し、Listに格納中---------
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---------7の画像をnumpy形式に変換し、Listに格納中---------
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---------8の画像をnumpy形式に変換し、Listに格納中---------
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------------リストをnumpy形式に変換中-----------
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Iteration 1, loss = 175.43883525
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Iteration 2, loss = inf
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Iteration 3, loss = inf
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Iteration 4, loss = inf
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Iteration 5, loss = inf
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Iteration 6, loss = inf
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Iteration 7, loss = inf
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Iteration 8, loss = inf
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Iteration 9, loss = inf
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Iteration 10, loss = inf
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Iteration 11, loss = inf
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Iteration 12, loss = inf
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Training loss did not improve more than tol=0.000100 for 10 consecutive epochs. Stopping.
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52
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53
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精度 0.7
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54
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55
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Traceback (most recent call last):
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56
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57
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58
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59
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File "<ipython-input-8-a639f0b2b1f0>", line 1, in <module>
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+
runfile('C:/Users/erifu/Desktop/data0417/test.py', wdir='C:/Users/erifu/Desktop/data0417')
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File "C:\Users\erifu\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 827, in runfile
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execfile(filename, namespace)
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File "C:\Users\erifu\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
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72
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exec(compile(f.read(), filename, 'exec'), namespace)
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File "C:/Users/erifu/Desktop/data0417/test.py", line 32, in <module>
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78
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+
print(metrics.confusion_matrix(data_test,p))
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80
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81
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File "C:\Users\erifu\Anaconda3\lib\site-packages\sklearn\metrics\classification.py", line 253, in confusion_matrix
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84
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85
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+
y_type, y_true, y_pred = _check_targets(y_true, y_pred)
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86
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+
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87
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File "C:\Users\erifu\Anaconda3\lib\site-packages\sklearn\metrics\classification.py", line 81, in _check_targets
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90
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+
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91
|
+
"and {1} targets".format(type_true, type_pred))
|
|
92
|
+
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|
93
|
+
|
|
18
94
|
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19
95
|
ValueError: Classification metrics can't handle a mix of multiclass-multioutput and binary targets
|
|
20
96
|
|