OpenML
1672797

Run 1672797

Task 9981 (Supervised Classification) cnae-9 Uploaded 21-07-2016 by Jan van Rijn
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Flow

weka.KStar(4)John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
weka.KStar(4)_B20
weka.KStar(4)_Ma

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
0.9914
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8983
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8865
Cross-validation details (10-fold Crossvalidation)
KB relative information score
944.5646
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0347
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1975
Cross-validation details (10-fold Crossvalidation)
Number of instances
1080
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9003
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8991
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.1699
Cross-validation details (10-fold Crossvalidation)
Recall
0.8991
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1758
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3143
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1268
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4036
Cross-validation details (10-fold Crossvalidation)