Run
8873750

Run 8873750

Task 3486 (Supervised Classification) spectrometer Uploaded 09-03-2018 by William Raynaut
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Flow

weka.kf.Bagging-SMO(1)A Weka KnowledgeFlow using Bagging-SMO.kf

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
0.907
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4332
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.442
Cross-validation details (10-fold Crossvalidation)
KB relative information score
34.9372
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.04
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
0.4278
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4746
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.4746
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.01
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1407
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0004
Cross-validation details (10-fold Crossvalidation)