Run
8148612

Run 8148612

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 18-10-2017 by Toon Van Craenendonck
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Flow

sklearn.tree.tree.ExtraTreeClassifier(8)Automatically created scikit-learn flow.
sklearn.tree.tree.ExtraTreeClassifier(8)_class_weightnull
sklearn.tree.tree.ExtraTreeClassifier(8)_criterion"gini"
sklearn.tree.tree.ExtraTreeClassifier(8)_max_depthnull
sklearn.tree.tree.ExtraTreeClassifier(8)_max_features"auto"
sklearn.tree.tree.ExtraTreeClassifier(8)_max_leaf_nodesnull
sklearn.tree.tree.ExtraTreeClassifier(8)_min_impurity_split1e-07
sklearn.tree.tree.ExtraTreeClassifier(8)_min_samples_leaf1
sklearn.tree.tree.ExtraTreeClassifier(8)_min_samples_split2
sklearn.tree.tree.ExtraTreeClassifier(8)_min_weight_fraction_leaf0.0
sklearn.tree.tree.ExtraTreeClassifier(8)_random_state40380
sklearn.tree.tree.ExtraTreeClassifier(8)_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
0.797 ± 0.01
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7989 ± 0.0104
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5936 ± 0.0208
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8859.7789 ± 32.1293
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2012 ± 0.0106
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
0.799 ± 0.0104
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7988 ± 0.0106
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7988 ± 0.0106
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4067 ± 0.0214
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4486 ± 0.0118
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9019 ± 0.0237
Cross-validation details (10-fold Crossvalidation)