Sklearn | LinearRegression |适合

Question

我在Scikit Learn中遇到过一些关于LinearRegression算法的问题 - 我已经在论坛上搜索了很多，但是由于某些原因，我没有设法绕过这个错误。我使用的是Python 3.5

以下是我的尝试，但不断得到一个值错误：“找到样本数不一致的输入变量：[403,174]”

X = df[["Impressions", "Clicks", "Eligible_Impressions", "Measureable_Impressions", "Viewable_Impressions"]].values

y = df["Total_Conversions"].values.reshape(-1,1)

print ("The shape of X is {}".format(X.shape))
print ("The shape of y is {}".format(y.shape))

The shape of X is (577, 5)
The shape of y is (577, 1)

X_train, y_train, X_test, y_test = train_test_split(X, y, test_size=0.3, random_state = 42)
linreg = LinearRegression()
linreg.fit(X_train, y_train)
y_pred = linreg.predict(X_test)
print (y_pred)

print ("The shape of X_train is {}".format(X_train.shape))
print ("The shape of y_train is {}".format(y_train.shape))
print ("The shape of X_test is {}".format(X_test.shape))
print ("The shape of y_test is {}".format(y_test.shape))

The shape of X_train is (403, 5)
The shape of y_train is (174, 5)
The shape of X_test is (403, 1)
The shape of y_test is (174, 1)

我错过了一些明显的东西吗？

非常感谢任何帮助。

亲切的问候， 阿德里安

Answer 1

看起来你的火车和测试包含X和y的不同行数。这是因为你以错误的顺序存储了train_test_split（）的返回值

更改此

X_train, y_train, X_test, y_test = train_test_split(X, y, test_size=0.3, random_state = 42)

到此

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state = 42)