Run
520089

Run 520089

Task 3486 (Supervised Classification) spectrometer Uploaded 05-02-2016 by Rafael Gomes Mantovani
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Flow

classif.boosting(6)Learner classif.boosting from package(s) adabag, rpart.
classif.boosting(6)_xval0
classif.boosting(6)_seed1
classif.boosting(6)_kindMersenne-Twister
classif.boosting(6)_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.

20 Evaluation measures

Area under ROC curve
0.7405
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4678
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4795
Cross-validation details (10-fold Crossvalidation)
KB relative information score
232.5412
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0204
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0396
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4597
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5104
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5104
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5147
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1428
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0158
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
462.913
UserCPU time millis testing
22.765
UserCPU time millis training
440.148