Run
557315

Run 557315

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 15-04-2016 by Tho Le
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • Fri_Apr_15_11.47.29_2016 NumPy_1.11.0. Python_2.7.11. run_task SciPy_0.17.0. sklearn.ensemble.forest.ExtraTreesClassifier Sklearn_0.18.dev0.
Issue #Downvotes for this reason By


Flow

sklearn.ensemble.forest.ExtraTreesClassifier(1)Flow generated by run_task
sklearn.ensemble.forest.ExtraTreesClassifier(1)_warm_startTrue
sklearn.ensemble.forest.ExtraTreesClassifier(1)_oob_scoreFalse
sklearn.ensemble.forest.ExtraTreesClassifier(1)_n_jobs1
sklearn.ensemble.forest.ExtraTreesClassifier(1)_verbose0
sklearn.ensemble.forest.ExtraTreesClassifier(1)_max_leaf_nodesNone
sklearn.ensemble.forest.ExtraTreesClassifier(1)_bootstrapFalse
sklearn.ensemble.forest.ExtraTreesClassifier(1)_min_samples_leaf1
sklearn.ensemble.forest.ExtraTreesClassifier(1)_n_estimators4096
sklearn.ensemble.forest.ExtraTreesClassifier(1)_min_samples_split5
sklearn.ensemble.forest.ExtraTreesClassifier(1)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.ExtraTreesClassifier(1)_criterionentropy
sklearn.ensemble.forest.ExtraTreesClassifier(1)_random_stateNone
sklearn.ensemble.forest.ExtraTreesClassifier(1)_max_featuresauto
sklearn.ensemble.forest.ExtraTreesClassifier(1)_max_depthNone
sklearn.ensemble.forest.ExtraTreesClassifier(1)_class_weightNone

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9999
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9947
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9893
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12950.6083
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0847
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4948
Cross-validation details (10-fold Crossvalidation)
Number of instances
14980
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9947
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9947
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.9947
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1713
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1169
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.235
Cross-validation details (10-fold Crossvalidation)