Run
8881078

Run 8881078

Task 9909 (Supervised Classification) autoUniv-au1-1000 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
0.6203
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.658
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0524
Cross-validation details (10-fold Crossvalidation)
KB relative information score
33.868
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3559
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3841
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6567
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.729
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.826
Cross-validation details (10-fold Crossvalidation)
Recall
0.729
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9266
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4381
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4403
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.005
Cross-validation details (10-fold Crossvalidation)