sklearn Boston Dataset-based Regression Trees Evaluation Task

An sklearn Boston Dataset-based Regression Trees Evaluation Task is a sklearn Boston dataset evaluation task (on sklearn's Boston dataset) restricted to decision tree ensemble learning systems.

• Example(s):
  • Training RMSE on the data, source code:
    • ~1.184 for sklearn.ensemble.BaggingRegressor, a Bagging regressor.
    • ~1.382 for sklearn.ensemble.GradientBoostingRegressor Gradient Boosting Regressor.
    • ~2.708 for sklearn.ensemble.RandomForestRegressor, a Random Forest Regressor.
    • ~2.980 for sklearn.ensemble.AdaBoostRegressor, an AdaBoost regressor.
    • ~3.018 for sklearn.tree.DecisionTreeRegressor, a simple Regression Tree Learning System.
    • ~3.370 for sklearn.ensemble.ExtraTreesRegressor, an Ensemble Extra Trees Regressor.
  • 10-fold RMSE on the data, source code:
    • ~4.647 for sklearn.ensemble.GradientBoostingRegressor Gradient Boosting Regressor.
    • ~4.671 for sklearn.ensemble.BaggingRegressor, a Bagging regressor.
    • ~4.815 for sklearn.ensemble.ExtraTreesRegressor, an Ensemble Extra Trees Regressor.
    • ~4.881 for sklearn.ensemble.RandomForestRegressor, a Random Forest Regressor.
    • ~5.053 for sklearn.ensemble.AdaBoostRegressor, an AdaBoost regressor.
    • ~6.001 for sklearn.tree.DecisionTreeRegressor, a simple Regression Tree Learning System.
  • …
• Counter-Example(s):
  • A sklearn.linear_model.
  • A sklearn.neighbors.
• See: sklearn.ensemble Module, sklearn Boston Dataset Evaluation, sklearn Boston Dataset-based Neural Networks Regression Evaluation Task, sklearn Boston Dataset-based SVM Regression Evaluation Task.

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