Run
226570

Run 226570

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 01-03-2015 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
0.7961
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9485
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2758
Cross-validation details (10-fold Crossvalidation)
KB relative information score
93.3264
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0449
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0837
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9454
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9571
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10-fold Crossvalidation)
Recall
0.9571
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5366
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1647
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8126
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
876.0664
UserCPU time millis
490
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
490
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training