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@@ -182,7 +182,9 @@ class LightGBM(object):
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X_test[key] = pd.to_numeric(X_test[key], errors="coerce")
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bst = lgb.Booster(model_file=self.model)
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y_pred = bst.predict(X_test, num_iteration=bst.best_iteration)
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- y_pred_binary = [0 if i <= 0.181112 else 1 for i in list(y_pred)]
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+ temp = sorted(list(y_pred))
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+ yuzhi = temp[int(len(temp) * 0.7) - 1]
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+ y_pred_binary = [0 if i <= yuzhi else 1 for i in list(y_pred)]
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# 转换为二进制输出
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score_list = []
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for index, item in enumerate(list(y_pred)):
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罗俊辉