Run
8862805

Run 8862805

Task 3856 (Supervised Classification) kdd_ipums_la_97-small 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
0.9698
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9623
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9201
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6428.3533
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.038
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.466
Cross-validation details (10-fold Crossvalidation)
Number of instances
7019
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9655
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.962
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9504
Cross-validation details (10-fold Crossvalidation)
Recall
0.962
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0816
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.195
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4041
Cross-validation details (10-fold Crossvalidation)