DEVELOPMENT... OpenML
Run
9952

Run 9952

Task 4 (Supervised Classification) labor Uploaded 22-05-2014 by Felicia West
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Flow

weka.KStar(1)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(1)_B20
weka.KStar(1)_Ma

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.975
Per class
F measure
0.931
Per class
Kappa
0.8527
KB relative information score
47.1606
Mean absolute error
0.0776
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9415
Per class
Predictive accuracy
0.9298
Prior entropy
0.9393
Recall
0.9298
Per class
Relative absolute error
0.1697
Root mean prior squared error
0.4773
Root mean squared error
0.2455
Root relative squared error
0.5143
SciMark benchmark
944.2207[563.20328422654151001.5358540365828480.2065271424506906.44537908266061769.7127006129608]