Run
8955372

Run 8955372

Task 146685 (Supervised Regression) HappinessRank_2015 Uploaded 06-04-2018 by Qing Cai
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Flow

sklearn.ensemble.forest.RandomForestRegressor(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestRegressor(1)_bootstraptrue
sklearn.ensemble.forest.RandomForestRegressor(1)_criterion"mse"
sklearn.ensemble.forest.RandomForestRegressor(1)_max_depthnull
sklearn.ensemble.forest.RandomForestRegressor(1)_max_features"auto"
sklearn.ensemble.forest.RandomForestRegressor(1)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestRegressor(1)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestRegressor(1)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestRegressor(1)_min_samples_split2
sklearn.ensemble.forest.RandomForestRegressor(1)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestRegressor(1)_n_estimators10
sklearn.ensemble.forest.RandomForestRegressor(1)_n_jobs1
sklearn.ensemble.forest.RandomForestRegressor(1)_oob_scorefalse
sklearn.ensemble.forest.RandomForestRegressor(1)_random_state40601
sklearn.ensemble.forest.RandomForestRegressor(1)_verbose0
sklearn.ensemble.forest.RandomForestRegressor(1)_warm_startfalse

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

7 Evaluation measures

Mean absolute error
0.0414 ± 0.0135
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.9584 ± 0.1935
Cross-validation details (10-fold Crossvalidation)
Number of instances
158
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0432 ± 0.0111
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
1.1414 ± 0.2218
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0653 ± 0.0276
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.0572 ± 0.0174
Cross-validation details (10-fold Crossvalidation)