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  • 模型准确度测算

    自己实现

    def accuracy_score(y_true, y_predict):
        """计算y_true和y_predict之间的准确率"""
        assert len(y_true) == len(y_predict), 
            "the size of y_true must be equal to the size of y_predict"
    
        return np.sum(y_true == y_predict) / len(y_true)
    def score(self, X_test, y_test):
            """根据测试数据集 X_test 和 y_test 确定当前模型的准确度"""
    
            y_predict = self.predict(X_test)
            return accuracy_score(y_test, y_predict)
    from sklearn.metrics import accuracy_score #测试准确度
    accuracy_score(y_test,Y_predict)

    sklearn自带精准度

    from sklearn.model_selection import train_test_split
    from sklearn.neighbors import KNeighborsClassifier
    from sklearn import datasets
    
    digits = datasets.load_digits()
    X = digits.data
    y = digits.target
    
    X_train,X_test,y_train,y_test = train_test_split(X,y,test_size= 0.2,random_state=666)
    
    KNN_classifier = KNeighborsClassifier(n_neighbors=3)
    KNN_classifier.fit(X_train,y_train)
    KNN_classifier.score(X_test,y_test)
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  • 原文地址:https://www.cnblogs.com/Erick-L/p/9009140.html
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