Run
8880937

Run 8880937

Task 3817 (Supervised Classification) spectrometer Uploaded 10-03-2018 by William Raynaut
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Flow

weka.kf.AdaBoostM1-NaiveBayes(1)A Weka KnowledgeFlow using AdaBoostM1-NaiveBayes.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
0.8692
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8573
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4465
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-522.2133
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2606
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1869
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9256
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8286
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4849
Cross-validation details (10-fold Crossvalidation)
Recall
0.8286
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.3945
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3047
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3772
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2378
Cross-validation details (10-fold Crossvalidation)