Run
1673001

Run 1673001

Task 3561 (Supervised Classification) profb Uploaded 21-07-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_IBk(1)Weka implementation of AttributeSelectedClassifier
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_Atrue
weka.AttributeSelectedClassifier_IBk(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_IBk(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_IBk(1)_Wweka.classifiers.lazy.IBk

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
0.5823
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5734
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0185
Cross-validation details (10-fold Crossvalidation)
KB relative information score
20.2589
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4204
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4446
Cross-validation details (10-fold Crossvalidation)
Number of instances
672
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5673
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.631
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9188
Cross-validation details (10-fold Crossvalidation)
Recall
0.631
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9456
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4963
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0529
Cross-validation details (10-fold Crossvalidation)