Run
10464914

Run 10464914

Task 167141 (Supervised Classification) churn Uploaded 19-07-2020 by K Y
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  • openml-python Sklearn_0.22.2.post1.
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Flow

sklearn.tree._classes.ExtraTreeClassifier(2)An extremely randomized tree classifier. 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.ExtraTreeClassifier(2)_ccp_alpha0.0
sklearn.tree._classes.ExtraTreeClassifier(2)_class_weightnull
sklearn.tree._classes.ExtraTreeClassifier(2)_criterion"gini"
sklearn.tree._classes.ExtraTreeClassifier(2)_max_depthnull
sklearn.tree._classes.ExtraTreeClassifier(2)_max_features"auto"
sklearn.tree._classes.ExtraTreeClassifier(2)_max_leaf_nodesnull
sklearn.tree._classes.ExtraTreeClassifier(2)_min_impurity_decrease0.0
sklearn.tree._classes.ExtraTreeClassifier(2)_min_impurity_splitnull
sklearn.tree._classes.ExtraTreeClassifier(2)_min_samples_leaf1
sklearn.tree._classes.ExtraTreeClassifier(2)_min_samples_split2
sklearn.tree._classes.ExtraTreeClassifier(2)_min_weight_fraction_leaf0.0
sklearn.tree._classes.ExtraTreeClassifier(2)_random_state45884
sklearn.tree._classes.ExtraTreeClassifier(2)_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.

18 Evaluation measures

0.7234 ± 0.0445
Per class
Cross-validation details (10-fold Crossvalidation)
0.8614 ± 0.0158
Per class
Cross-validation details (10-fold Crossvalidation)
0.4363 ± 0.0722
Cross-validation details (10-fold Crossvalidation)
0.2748 ± 0.0824
Cross-validation details (10-fold Crossvalidation)
0.1402 ± 0.0158
Cross-validation details (10-fold Crossvalidation)
0.2429 ± 0.0007
Cross-validation details (10-fold Crossvalidation)
0.8598 ± 0.0158
Cross-validation details (10-fold Crossvalidation)
5000
Per class
Cross-validation details (10-fold Crossvalidation)
0.8632 ± 0.0169
Per class
Cross-validation details (10-fold Crossvalidation)
0.8598 ± 0.0158
Cross-validation details (10-fold Crossvalidation)
0.5879 ± 0.0025
Cross-validation details (10-fold Crossvalidation)
0.5772 ± 0.0654
Cross-validation details (10-fold Crossvalidation)
0.3484 ± 0.001
Cross-validation details (10-fold Crossvalidation)
0.3744 ± 0.0213
Cross-validation details (10-fold Crossvalidation)
1.0746 ± 0.0616
Cross-validation details (10-fold Crossvalidation)
0.7234 ± 0.0445
Cross-validation details (10-fold Crossvalidation)