回归类（预测）模型评价指标（MAE、MSE、RMSE、R平方、MAPE）

Regression metrics

from sklearn.metrics import mean_absolute_error
from sklearn.metrics import mean_squared_error
from sklearn.metrics import r2_score
from math import sqrt
import numpy as np

MAPE = np.mean(np.abs((test_y - test_predict)/test_y))
print("MAE",mean_absolute_error(test_y,test_predict))
print("MSE",mean_squared_error(test_y,test_predict))
print("RMSE",sqrt(mean_squared_error(test_y,test_predict)))
print("R^2", r2_score(test_y,test_predict))
print("MAPE",MAPE)

https://scikit-learn.org/stable/modules/model_evaluation.html#regression-metrics