質問編集履歴
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and.pyのソース
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``` python
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# ライブラリのインポート --- (*1)
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print(test_data , "の予測結果：" , test_label)
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print("正解率 = " , accuracy_score([0, 0, 0, 1], test_label))
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```
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test
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from sklearn.svm import LinearSVC
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ImportError: No module named 'sklearn'
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# ライブラリのインポート --- (*1)
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from sklearn.svm import LinearSVC
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from sklearn.metrics import accuracy_score
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# 学習用のデータと結果の準備 --- (*2)
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# X , Y
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learn_data = [[0,0], [1,0], [0,1], [1,1]]
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# X and Y
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learn_label = [0, 0, 0, 1]
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# アルゴリズムの指定(LinierSVC) --- (*3)
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clf = LinearSVC()
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# 学習用データと結果の学習 --- (*4)
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clf.fit(learn_data, learn_label)
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# テストデータによる予測 --- (*5)
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test_data = [[0,0], [1,0], [0,1], [1,1]]
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test_label = clf.predict(test_data)
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# 予測結果の評価 --- (*6)
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print(test_data , "の予測結果：" , test_label)
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print("正解率 = " , accuracy_score([0, 0, 0, 1], test_label))
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