Run
9864483

Run 9864483

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 16-11-2018 by Randolf Scholz
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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_state32460
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
0.795 ± 0.0162
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7971 ± 0.0155
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5899 ± 0.0316
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8806.9837 ± 46.8032
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2029 ± 0.0154
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
0.7971 ± 0.0157
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7971 ± 0.0154
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7971 ± 0.0154
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4102 ± 0.0311
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4505 ± 0.017
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9057 ± 0.0342
Cross-validation details (10-fold Crossvalidation)