Run
1810548

Run 1810548

Task 3992 (Supervised Classification) AP_Breast_Kidney Uploaded 28-07-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_NaiveBayes(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_NaiveBayes(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_NaiveBayes(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9697
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9718
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9424
Cross-validation details (10-fold Crossvalidation)
KB relative information score
568.9815
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0281
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4904
Cross-validation details (10-fold Crossvalidation)
Number of instances
604
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.972
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9719
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9861
Cross-validation details (10-fold Crossvalidation)
Recall
0.9719
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0574
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4951
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1678
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3388
Cross-validation details (10-fold Crossvalidation)