Run
8862847

Run 8862847

Task 3875 (Supervised Classification) flags Uploaded 27-02-2018 by William Raynaut
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.6946
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7279
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3996
Cross-validation details (10-fold Crossvalidation)
KB relative information score
76.3434
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.268
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4588
Cross-validation details (10-fold Crossvalidation)
Number of instances
194
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7264
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.732
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9403
Cross-validation details (10-fold Crossvalidation)
Recall
0.732
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5843
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4787
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5177
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0815
Cross-validation details (10-fold Crossvalidation)