Run
289282

Run 289282

Task 2979 (Supervised Classification) meta_instanceincremental.arff 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
0.8342
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8705
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6952
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
486.871
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.061
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2277
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
740
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
0.8724
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.873
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.3146
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.873
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2679
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3317
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2397
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7227
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1342.3004
UserCPU time millis
470
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
470
Cross-validation details (10 times 10-fold Crossvalidation)