Run
8860439

Run 8860439

Task 3641 (Supervised Classification) fri_c2_100_25 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
0.8776
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.88
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7552
Cross-validation details (10-fold Crossvalidation)
KB relative information score
75.279
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.12
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4904
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.88
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.88
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9864
Cross-validation details (10-fold Crossvalidation)
Recall
0.88
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2447
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4951
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3464
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6997
Cross-validation details (10-fold Crossvalidation)