Run
555320

Run 555320

Task 14951 (Supervised Classification) eeg-eye-state Uploaded 13-04-2016 by Akash Singh
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • NumPy_1.10.4. Python_3.5.1. run_task SciPy_0.17.0. sklearn.ensemble.weight_boosting.AdaBoostClassifier Sklearn_0.18.dev0. Wed_Apr_13_21.44.11_2016
Issue #Downvotes for this reason By


Flow

sklearn.ensemble.weight_boosting.AdaBoostClassifier(3)Flow generated by run_task
sklearn.ensemble.weight_boosting.AdaBoostClassifier(3)_n_estimators700
sklearn.ensemble.weight_boosting.AdaBoostClassifier(3)_algorithmSAMME.R
sklearn.ensemble.weight_boosting.AdaBoostClassifier(3)_learning_rate1.0
sklearn.ensemble.weight_boosting.AdaBoostClassifier(3)_base_estimatorNone
sklearn.ensemble.weight_boosting.AdaBoostClassifier(3)_random_stateNone

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
0.8522
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7684
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.531
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-205.8951
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4992
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
0.7686
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7692
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9924
Cross-validation details (10-fold Crossvalidation)
Recall
0.7692
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.009
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4974
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4992
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0037
Cross-validation details (10-fold Crossvalidation)