Run
7946771

Run 7946771

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 09-10-2017 by Junchao Wang
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.tree.tree.ExtraTreeClassifier(3)Automatically created scikit-learn flow.
sklearn.tree.tree.ExtraTreeClassifier(3)_class_weightnull
sklearn.tree.tree.ExtraTreeClassifier(3)_criterion"gini"
sklearn.tree.tree.ExtraTreeClassifier(3)_max_depthnull
sklearn.tree.tree.ExtraTreeClassifier(3)_max_features"auto"
sklearn.tree.tree.ExtraTreeClassifier(3)_max_leaf_nodesnull
sklearn.tree.tree.ExtraTreeClassifier(3)_min_impurity_split1e-07
sklearn.tree.tree.ExtraTreeClassifier(3)_min_samples_leaf1
sklearn.tree.tree.ExtraTreeClassifier(3)_min_samples_split2
sklearn.tree.tree.ExtraTreeClassifier(3)_min_weight_fraction_leaf0.0
sklearn.tree.tree.ExtraTreeClassifier(3)_random_state2335
sklearn.tree.tree.ExtraTreeClassifier(3)_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
0.7906 ± 0.0142
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7928 ± 0.0146
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5812 ± 0.0292
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8677.0261 ± 44.8089
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2072 ± 0.0148
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
0.7928 ± 0.0144
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7928 ± 0.0148
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7928 ± 0.0148
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4188 ± 0.0298
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4552 ± 0.0161
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9152 ± 0.0324
Cross-validation details (10-fold Crossvalidation)