DEVELOPMENT... OpenML
Run
10630

Run 10630

Task 23 (Supervised Classification) cmc 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
0.6765
Per class
F measure
0.5007
Per class
Kappa
0.2271
KB relative information score
305.0989
Mean absolute error
0.3733
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5037
Per class
Predictive accuracy
0.499
Prior entropy
1.5392
Recall
0.499
Per class
Relative absolute error
0.8666
Root mean prior squared error
0.4641
Root mean squared error
0.4515
Root relative squared error
0.9729
SciMark benchmark
907.9784[559.76915123019011014.1868590421574477.64318000025406908.95975824819551579.33286412633]