Run
9204466

Run 9204466

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 18-08-2018 by JEAN-FREDERIC GAULARD
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.tree.tree.ExtraTreeClassifier(15)Automatically created scikit-learn flow.
sklearn.tree.tree.ExtraTreeClassifier(15)_class_weightnull
sklearn.tree.tree.ExtraTreeClassifier(15)_criterion"gini"
sklearn.tree.tree.ExtraTreeClassifier(15)_max_depthnull
sklearn.tree.tree.ExtraTreeClassifier(15)_max_features"auto"
sklearn.tree.tree.ExtraTreeClassifier(15)_max_leaf_nodesnull
sklearn.tree.tree.ExtraTreeClassifier(15)_min_impurity_decrease0.0
sklearn.tree.tree.ExtraTreeClassifier(15)_min_impurity_splitnull
sklearn.tree.tree.ExtraTreeClassifier(15)_min_samples_leaf1
sklearn.tree.tree.ExtraTreeClassifier(15)_min_samples_split2
sklearn.tree.tree.ExtraTreeClassifier(15)_min_weight_fraction_leaf0.0
sklearn.tree.tree.ExtraTreeClassifier(15)_random_state6954
sklearn.tree.tree.ExtraTreeClassifier(15)_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
0.7931 ± 0.0123
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7953 ± 0.0115
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5863 ± 0.0237
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8754.1884 ± 34.5826
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2047 ± 0.0113
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
0.7953 ± 0.0116
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7953 ± 0.0113
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7953 ± 0.0113
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4137 ± 0.0229
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4524 ± 0.0125
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9096 ± 0.0251
Cross-validation details (10-fold Crossvalidation)