Run
10559884

Run 10559884

Task 360880 (Supervised Regression) NASA_PHM2008_1 Uploaded 16-04-2021 by Tan Zheng
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Flow

sklearn.tree._classes.ExtraTreeRegressor(1)An extremely randomized tree regressor. Extra-trees differ from classic decision trees in the way they are built. When looking for the best split to separate the samples of a node into two groups, random splits are drawn for each of the `max_features` randomly selected features and the best split among those is chosen. When `max_features` is set 1, this amounts to building a totally random decision tree. Warning: Extra-trees should only be used within ensemble methods.
sklearn.tree._classes.ExtraTreeRegressor(1)_ccp_alpha0.0
sklearn.tree._classes.ExtraTreeRegressor(1)_criterion"mse"
sklearn.tree._classes.ExtraTreeRegressor(1)_max_depthnull
sklearn.tree._classes.ExtraTreeRegressor(1)_max_features"auto"
sklearn.tree._classes.ExtraTreeRegressor(1)_max_leaf_nodesnull
sklearn.tree._classes.ExtraTreeRegressor(1)_min_impurity_decrease0.0
sklearn.tree._classes.ExtraTreeRegressor(1)_min_impurity_splitnull
sklearn.tree._classes.ExtraTreeRegressor(1)_min_samples_leaf1
sklearn.tree._classes.ExtraTreeRegressor(1)_min_samples_split2
sklearn.tree._classes.ExtraTreeRegressor(1)_min_weight_fraction_leaf0.0
sklearn.tree._classes.ExtraTreeRegressor(1)_random_state44871
sklearn.tree._classes.ExtraTreeRegressor(1)_splitter"random"

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

57.2447 ± 0.5923
Cross-validation details (10-fold Crossvalidation)
45918
Cross-validation details (10-fold Crossvalidation)
68.4198 ± 0.6022
Cross-validation details (10-fold Crossvalidation)