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Run
10170

Run 10170

Task 50 (Supervised Classification) heart-h 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
0.8221
Per class
F measure
0.7685
Per class
Kappa
0.4922
KB relative information score
127.2087
Mean absolute error
0.0993
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7681
Per class
Predictive accuracy
0.7721
Prior entropy
1.0314
Recall
0.7721
Per class
Relative absolute error
0.5319
Root mean prior squared error
0.3037
Root mean squared error
0.2608
Root relative squared error
0.8586
SciMark benchmark
937.1971[559.05150768537421014.1868590421574478.28146046101085894.07915072242371740.3866518216023]