Run
8858760

Run 8858760

Task 35 (Supervised Classification) dermatology 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
0.9866
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9643
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9555
Cross-validation details (10-fold Crossvalidation)
KB relative information score
125.5521
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.223
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2664
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9642
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9645
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (10-fold Crossvalidation)
Recall
0.9645
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.837
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3115
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8537
Cross-validation details (10-fold Crossvalidation)