Run
8860725

Run 8860725

Task 3662 (Supervised Classification) fri_c4_1000_50 Uploaded 27-02-2018 by William Raynaut
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Flow

weka.kf.AttributeSelection-Ranker-InfoGain-SMO(1)A Weka KnowledgeFlow using AttributeSelection-Ranker-InfoGain-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
0.6941
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7001
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3901
Cross-validation details (10-fold Crossvalidation)
KB relative information score
389.3942
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.299
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4928
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6998
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.701
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9896
Cross-validation details (10-fold Crossvalidation)
Recall
0.701
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6067
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5468
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1016
Cross-validation details (10-fold Crossvalidation)