Run
241911

Run 241911

Task 4280 (Supervised Classification) sleuth_ex2016 Uploaded 02-03-2015 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
0.794
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.726
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4432
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
331.1482
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2999
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4855
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
870
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
0.7331
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7241
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9794
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7241
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6178
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4925
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.47
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9544
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
923.6051
UserCPU time millis
50
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
50
Cross-validation details (10 times 10-fold Crossvalidation)