Run
9989514

Run 9989514

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 16-01-2019 by Thomas Boquet
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Flow

sklearn.tree.tree.ExtraTreeClassifier(18)Automatically created scikit-learn flow.
sklearn.tree.tree.ExtraTreeClassifier(18)_class_weightnull
sklearn.tree.tree.ExtraTreeClassifier(18)_criterion"gini"
sklearn.tree.tree.ExtraTreeClassifier(18)_max_depthnull
sklearn.tree.tree.ExtraTreeClassifier(18)_max_features"auto"
sklearn.tree.tree.ExtraTreeClassifier(18)_max_leaf_nodesnull
sklearn.tree.tree.ExtraTreeClassifier(18)_min_impurity_decrease0.0
sklearn.tree.tree.ExtraTreeClassifier(18)_min_impurity_splitnull
sklearn.tree.tree.ExtraTreeClassifier(18)_min_samples_leaf1
sklearn.tree.tree.ExtraTreeClassifier(18)_min_samples_split2
sklearn.tree.tree.ExtraTreeClassifier(18)_min_weight_fraction_leaf0.0
sklearn.tree.tree.ExtraTreeClassifier(18)_random_state39631
sklearn.tree.tree.ExtraTreeClassifier(18)_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.

17 Evaluation measures

Area under ROC curve
0.7952 ± 0.0153
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7976 ± 0.0155
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5908 ± 0.0312
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8827.2895 ± 47.3507
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2023 ± 0.0156
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7976 ± 0.0155
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7977 ± 0.0156
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7977 ± 0.0156
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4088 ± 0.0315
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4497 ± 0.0176
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9042 ± 0.0353
Cross-validation details (10-fold Crossvalidation)