Run
18971

Run 18971

Task 403 (Supervised Classification) eeg-eye-state Uploaded 12-11-2019 by Test Test
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Flow

sklearn.tree.tree.ExtraTreeClassifier(5)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.tree.ExtraTreeClassifier(5)_class_weightnull
sklearn.tree.tree.ExtraTreeClassifier(5)_criterion"gini"
sklearn.tree.tree.ExtraTreeClassifier(5)_max_depthnull
sklearn.tree.tree.ExtraTreeClassifier(5)_max_features"auto"
sklearn.tree.tree.ExtraTreeClassifier(5)_max_leaf_nodesnull
sklearn.tree.tree.ExtraTreeClassifier(5)_min_impurity_decrease0.0
sklearn.tree.tree.ExtraTreeClassifier(5)_min_impurity_splitnull
sklearn.tree.tree.ExtraTreeClassifier(5)_min_samples_leaf1
sklearn.tree.tree.ExtraTreeClassifier(5)_min_samples_split2
sklearn.tree.tree.ExtraTreeClassifier(5)_min_weight_fraction_leaf0.0
sklearn.tree.tree.ExtraTreeClassifier(5)_random_state2816
sklearn.tree.tree.ExtraTreeClassifier(5)_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

0.7987 ± 0.0155
Per class
Cross-validation details (10-fold Crossvalidation)
0.8006 ± 0.0155
Per class
Cross-validation details (10-fold Crossvalidation)
0.5971 ± 0.0311
Cross-validation details (10-fold Crossvalidation)
0.5951 ± 0.0314
Cross-validation details (10-fold Crossvalidation)
0.1994 ± 0.0155
Cross-validation details (10-fold Crossvalidation)
0.4948 ± 0
Cross-validation details (10-fold Crossvalidation)
0.8006 ± 0.0155
Cross-validation details (10-fold Crossvalidation)
14980
Per class
Cross-validation details (10-fold Crossvalidation)
0.8007 ± 0.0153
Per class
Cross-validation details (10-fold Crossvalidation)
0.8006 ± 0.0155
Cross-validation details (10-fold Crossvalidation)
0.9924 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
0.403 ± 0.0313
Cross-validation details (10-fold Crossvalidation)
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
0.4465 ± 0.0173
Cross-validation details (10-fold Crossvalidation)
0.8978 ± 0.0348
Cross-validation details (10-fold Crossvalidation)
0.7987 ± 0.0155
Cross-validation details (10-fold Crossvalidation)