Run
8857809

Run 8857809

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 11-02-2018 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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_state50815
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
0.79 ± 0.0127
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.792 ± 0.0127
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5797 ± 0.0255
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8652.659 ± 38.4943
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.208 ± 0.0127
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
0.7921 ± 0.0126
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.792 ± 0.0127
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.792 ± 0.0127
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4204 ± 0.0256
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4561 ± 0.0138
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.917 ± 0.0277
Cross-validation details (10-fold Crossvalidation)