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Run
14671

Run 14671

Task 11 (Supervised Classification) balance-scale Uploaded 23-05-2014 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
0.9511
Per class
F measure
0.8579
Per class
Kappa
0.8042
KB relative information score
314.891
Mean absolute error
0.184
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8243
Per class
Predictive accuracy
0.8944
Prior entropy
1.3212
Recall
0.8944
Per class
Relative absolute error
0.4844
Root mean prior squared error
0.4356
Root mean squared error
0.2727
Root relative squared error
0.626
SciMark benchmark
921.5053[567.6019088782145888.4070427979932483.2321174670136907.70082742804311760.5845701777503]