from sklearn.ensembleimport RandomForestRegressorfrom sklearn.metrics import mean_absolute_errorfrom sklearn.model_selection import train_test_splitmodel =RandomForestRegressor(n_estimators=2900,min_s

from sklearn.neural_network import MLPRegressorhidden_layer_sizes :隐含层尺寸，例如hidden_layer_size=(30,20,20)activation:激活函数，常用"identity",“logistic”,“tanh”,“relu”solver:模型优化的方法 ，常用三种："lbfgs"牛顿法,适合小样本、“sgd”,