https://blog.csdn.net/u012884015/article/details/78653178
xgb_model.get_booster().save_model('xgb.model')
tar = xgb.Booster(model_file='xgb.model')
x_test = xgb.DMatrix(x_test)
pre=tar.predict(x_test)
act=y_test
print(mean_squared_error(act, pre))
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