Run
289228

Run 289228

Task 1933 (Supervised Classification) vehicle 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
0.8869
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6969
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6045
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
5419.5701
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1526
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
8460
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
0.6916
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7034
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7034
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4071
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3571
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8248
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1288.1375
UserCPU time millis
6000
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
6000
Cross-validation details (10 times 10-fold Crossvalidation)