Run
9204047

Run 9204047

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 29-06-2018 by Olivier Go
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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_state52177
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
0.7969 ± 0.0091
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7996 ± 0.0091
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5947 ± 0.0184
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8890.2377 ± 27.8515
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2002 ± 0.0092
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
0.7996 ± 0.0092
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7998 ± 0.0092
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7998 ± 0.0092
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4046 ± 0.0185
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4474 ± 0.0103
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8996 ± 0.0207
Cross-validation details (10-fold Crossvalidation)