Run
8860960

Run 8860960

Task 3689 (Supervised Classification) fri_c1_500_10 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
0.7354
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7379
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4709
Cross-validation details (10-fold Crossvalidation)
KB relative information score
234.4839
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.262
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4954
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7379
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.738
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9934
Cross-validation details (10-fold Crossvalidation)
Recall
0.738
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5289
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4977
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5119
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0285
Cross-validation details (10-fold Crossvalidation)