Run
289535

Run 289535

Task 4318 (Supervised Classification) servo Uploaded 15-03-2015 by Jan van Rijn
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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
0.9769
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9336
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.817
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
938.878
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1671
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3533
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1670
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9389
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9317
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.7794
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9317
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4731
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4193
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.242
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.5773
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1341.2341
UserCPU time millis
30
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (10 times 10-fold Crossvalidation)