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@@ -23,11 +23,11 @@ class ModelLr(ModelBase):
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test_data = data.test_data
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self.lr.fit(train_data.get_Xdata(), train_data.get_Ydata())
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- train_prob = self.lr.predict(train_data.get_Xdata())
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+ train_prob = self.lr.predict_proba(train_data.get_Xdata())[:, 1]
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train_auc = AUC(train_prob, train_data.get_Ydata())
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train_ks = KS(train_prob, train_data.get_Ydata())
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- test_prob = self.lr.predict(test_data.get_Xdata())
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+ test_prob = self.lr.predict_proba(test_data.get_Xdata())[:, 1]
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test_auc = AUC(test_prob, test_data.get_Ydata())
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test_ks = KS(test_prob, test_data.get_Ydata())
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