Run
289215

Run 289215

Task 1916 (Supervised Classification) segment Uploaded 14-03-2015 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
0.9986
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.972
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9674
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
22447.3643
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0087
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2449
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
23100
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
0.9721
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.972
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
2.8074
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.972
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0356
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3499
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.0786
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.2246
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
942.9708
UserCPU time millis
60870
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
60870
Cross-validation details (10 times 10-fold Crossvalidation)