Run
485670

Run 485670

Task 3661 (Supervised Classification) cpu Uploaded 01-12-2015 by Rafael Gomes Mantovani
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Flow

classif.boosting(2)Learner classif.boosting from package(s) adabag, rpart.
classif.boosting(2)_xval0
classif.boosting(2)_seed1
classif.boosting(2)_kindMersenne-Twister
classif.boosting(2)_normal.kindInversion

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
0.9998
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9905
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.975
Cross-validation details (10-fold Crossvalidation)
KB relative information score
174.8804
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.071
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3797
Cross-validation details (10-fold Crossvalidation)
Number of instances
209
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9908
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9904
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8205
Cross-validation details (10-fold Crossvalidation)
Recall
0.9904
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1869
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4351
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1281
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2945
Cross-validation details (10-fold Crossvalidation)