質問編集履歴
1
SVMのコードを全文掲載しました
test
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test
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@@ -30,7 +30,19 @@
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ソースコード
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AV_df = pd.read_csv("AV1.0~3.0 nomal2.csv")
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x = AV_df.iloc[0:75, [0,1]].values
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y = AV_df.iloc[0:75, 2].values
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model = SVC(kernel = "rbf", random_state = 0, C = 10, gamma = 100 )
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model.fit(x, y)
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def plot_decision_regions(X, y, classifier, test_idx=None, resolution=0.02):
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markers = ('s','x','o','^','v')
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@@ -70,7 +82,13 @@
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X_test, y_test = X[test_idx, :], y[test_idx]
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plt.scatter(X_test[:,0], X_test[:,1] ,c='', alpha=1.0, linewidth = 1, marker='o', s =55,label = 'test set')
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plt.scatter(X_test[:,0], X_test[:,1] ,c='', alpha=1.0, linewidth = 1, marker='o', s =55,label = 'test set')
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plot_decision_regions(x, y, classifier = model)
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```
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@@ -84,6 +102,6 @@
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### 補足情報（FW/ツールのバージョンなど）
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ここにより詳細な情報を記載してください。
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