Run
226523

Run 226523

Task 232 (Supervised Classification) anneal 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
0.5
Per class
Cross-validation details (33% Holdout set)
F measure
0.0004
Per class
Cross-validation details (33% Holdout set)
KB relative information score
-239.0213
Cross-validation details (33% Holdout set)
Mean absolute error
0.2778
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.141
Cross-validation details (33% Holdout set)
Number of instances
296
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0002
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.0135
Cross-validation details (33% Holdout set)
Prior entropy
1.2149
Cross-validation details (33% Holdout set)
Recall
0.0135
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
1.9697
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.2709
Cross-validation details (33% Holdout set)
Root mean squared error
0.3727
Cross-validation details (33% Holdout set)
Root relative squared error
1.3756
Cross-validation details (33% Holdout set)
SciMark benchmark
912.7324
UserCPU time millis
4100
Cross-validation details (33% Holdout set)
UserCPU time millis testing
4100
Cross-validation details (33% Holdout set)