Run
385642

Run 385642

Task 4240 (Supervised Classification) tr41.wc Uploaded 03-04-2015 by Joaquin Vanschoren
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Flow

weka.KStar(3)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(3)_B20
weka.KStar(3)_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.

22 Evaluation measures

Area under ROC curve
0.6916
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.3272
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.1924
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2090.9337
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1401
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1652
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
8780
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7896
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.2568
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
2.8041
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.2568
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8479
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2872
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.282
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9817
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
912.5534
UserCPU time millis
1901610
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
1901610
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)