DEVELOPMENT... OpenML
Run
147788

Run 147788

Task 55 (Supervised Classification) vote Uploaded 03-02-2015 by Felicia West
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Flow

weka.KStar(2)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(2)_B20
weka.KStar(2)_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
0.9828
Per class
F measure
0.9312
Per class
Kappa
0.8555
KB relative information score
366.7011
Mean absolute error
0.0748
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9318
Per class
Predictive accuracy
0.931
Prior entropy
0.9627
Recall
0.931
Per class
Relative absolute error
0.1578
Root mean prior squared error
0.4869
Root mean squared error
0.2179
Root relative squared error
0.4476
SciMark benchmark
891.2195
UserCPU time millis
450
UserCPU time millis testing
450