Run
8857811

Run 8857811

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 11-02-2018 by Jan van Rijn
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Flow

sklearn.tree.tree.ExtraTreeClassifier(11)Automatically created scikit-learn flow.
sklearn.tree.tree.ExtraTreeClassifier(11)_class_weightnull
sklearn.tree.tree.ExtraTreeClassifier(11)_criterion"gini"
sklearn.tree.tree.ExtraTreeClassifier(11)_max_depthnull
sklearn.tree.tree.ExtraTreeClassifier(11)_max_features"auto"
sklearn.tree.tree.ExtraTreeClassifier(11)_max_leaf_nodesnull
sklearn.tree.tree.ExtraTreeClassifier(11)_min_impurity_split1e-07
sklearn.tree.tree.ExtraTreeClassifier(11)_min_samples_leaf1
sklearn.tree.tree.ExtraTreeClassifier(11)_min_samples_split2
sklearn.tree.tree.ExtraTreeClassifier(11)_min_weight_fraction_leaf0.0
sklearn.tree.tree.ExtraTreeClassifier(11)_random_state7381
sklearn.tree.tree.ExtraTreeClassifier(11)_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
0.792 ± 0.0106
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.794 ± 0.0109
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5837 ± 0.0217
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8711.546 ± 33.3158
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2061 ± 0.011
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
0.794 ± 0.0107
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7939 ± 0.011
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7939 ± 0.011
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4165 ± 0.0222
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.454 ± 0.0121
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9127 ± 0.0242
Cross-validation details (10-fold Crossvalidation)