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Run
8532

Run 8532

Task 34 (Supervised Classification) postoperative-patient-data 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
0.3884
Per class
F measure
0.5515
Per class
Kappa
-0.1336
KB relative information score
-8.5376
Mean absolute error
0.2955
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4884
Per class
Predictive accuracy
0.6333
Prior entropy
1.0305
Recall
0.6333
Per class
Relative absolute error
1.0293
Root mean prior squared error
0.3755
Root mean squared error
0.4384
Root relative squared error
1.1676
SciMark benchmark
916.9799[561.0294385434213873.9025281965858482.7975877024999904.880888052811762.2889234168845]