OpenML
8870045

Run 8870045

Task 3010 (Supervised Classification) colic Uploaded 02-03-2018 by William Raynaut
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Flow

weka.kf.AttributeSelection-Ranker-InfoGain-Standardize-IBk5(1)A Weka KnowledgeFlow using AttributeSelection-Ranker-InfoGain-Standardize-IBk5.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
0.8807
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8539
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6879
Cross-validation details (10-fold Crossvalidation)
KB relative information score
207.0647
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2118
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.855
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8533
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8533
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4544
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3382
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7006
Cross-validation details (10-fold Crossvalidation)