随机森林预测错误的输出形状

也许你正在通过X_训练来预测方法,而不是X_测试,检查你的代码是否有拼写错误。

我通过创建一个基于随机数据的模型来验证这一点。它正在按预期工作。

干得好

from sklearn.ensemble import RandomForestRegressor 
import sklearn
print(sklearn.__version__)

X_train = np.random.random((8,7))
y_train = np.random.random((8,100))
print(X_train.shape, y_train.shape)

model = RandomForestRegressor(n_estimators = 300, random_state=30)
model.fit(X_train, y_train)

X_test = np.random.random((1,7))
predictions = model.predict(X_test) # Make sure it is X_test and not X_train
print(predictions.shape)