Run
281510

Run 281510

Task 4421 (Supervised Classification) tecator Uploaded 08-03-2015 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
0.8924
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8564
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7046
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1694.0048
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1423
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4888
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
2400
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
0.8596
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8579
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.984
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8579
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2912
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.373
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7546
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
916.5769
UserCPU time millis
8810
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
8810
Cross-validation details (10 times 10-fold Crossvalidation)