generated from LufsX/Experiment-LogReg
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@@ -86,10 +86,10 @@ def load_data(filepath):
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return X, y
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def main():
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# 更新文件路径以匹配实际位置
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X_train, y_train = load_data("C:/Users/HP/Desktop/机器学习/Experiment-LogReg/data/horse-colic.data")
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X_test, y_test = load_data("C:/Users/HP/Desktop/机器学习/Experiment-LogReg/data/horse-colic.test")
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if X_train is not None and X_test is not None:
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# 特征缩放
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scaler = StandardScaler()
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@@ -105,7 +105,7 @@ def main():
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# 计算准确率
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accuracy = np.mean(y_pred == y_test)
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print(f"准确率: {accuracy}")
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if __name__ == "__main__":
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main()
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