Out[4]:

Report for sklearn.ensemble.RandomForestRegressor

Params:  {'n_estimators': [5, 50, 100], 'min_samples_leaf': [5, 10, 20]}

RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',
                      max_depth=None, max_features='auto', max_leaf_nodes=None,
                      max_samples=None, min_impurity_decrease=0.0,
                      min_impurity_split=None, min_samples_leaf=1,
                      min_samples_split=2, min_weight_fraction_leaf=0.0,
                      n_estimators=100, n_jobs=None, oob_score=False,
                      random_state=None, verbose=0, warm_start=False)
Out[9]:
Text(0, 0.5, 'Actual')
Out[10]:
Text(0, 0.5, 'Residual')
Out[11]:
Text(0.5, 1.0, 'Residual distribution')
MAE: 3.21
MSE: 23.96