Run
8870031

Run 8870031

Task 2274 (Supervised Classification) meta_ensembles.arff Uploaded 02-03-2018 by William Raynaut
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Flow

weka.kf.AttributeSelection-Ranker-InfoGain-Standardize-IBk5(1)A Weka KnowledgeFlow using AttributeSelection-Ranker-InfoGain-Standardize-IBk5.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
0.7587
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6469
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3784
Cross-validation details (10-fold Crossvalidation)
KB relative information score
22.778
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2301
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2904
Cross-validation details (10-fold Crossvalidation)
Number of instances
74
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.666
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6757
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5899
Cross-validation details (10-fold Crossvalidation)
Recall
0.6757
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7925
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3782
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3529
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9331
Cross-validation details (10-fold Crossvalidation)