RandomForest

rf_params = { 'n_jobs': 16, 'n_estimators': 100, 'max_features': 0.2, 'max_depth': 12, 'min_samples_leaf': 2, }

gbdt

xgboost

xgb_params = { 'seed': 0, 'silent': 1, 'objective': 'reg:linear', #binary:logistic,multi:softmax,multi:softprob 'eval_metric': 'rmse', #mae,logloss,error,merror,mlogloss,auc 'num_class': 4,# multi:softmax需要此参数 'max_depth': 4, 'min_child_weight': 1, 'subsample': 0.7, 'colsample_bytree': 0.7, 'learning_rate': 0.075, # eta 'gamma': 0.01, 'alpha': 0.01, 'lambda': 0.01, 'nthread': 4, 'nrounds': 500 }