Run
8881011

Run 8881011

Task 3887 (Supervised Classification) analcatdata_germangss 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
0.9408
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8866
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6662
Cross-validation details (10-fold Crossvalidation)
KB relative information score
243.9189
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1222
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3495
Cross-validation details (10-fold Crossvalidation)
Number of instances
400
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8862
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.89
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7716
Cross-validation details (10-fold Crossvalidation)
Recall
0.89
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3497
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4176
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.29
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6945
Cross-validation details (10-fold Crossvalidation)