DEVELOPMENT... OpenML
Run
15202

Run 15202

Task 59 (Supervised Classification) iris Uploaded 03-06-2014 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
0.9961
Per class
F measure
0.9467
Per class
Kappa
0.92
KB relative information score
137.8837
Mean absolute error
0.0416
Mean prior absolute error
0.4444
Number of instances
150
Per class
OS information
[Oracle Corporation, 1.7.0_04, x86_64, Mac OS X, 10.9.3]
Precision
0.9467
Per class
Predictive accuracy
0.9467
Prior entropy
1.585
Recall
0.9467
Per class
Relative absolute error
0.0936
Root mean prior squared error
0.4714
Root mean squared error
0.149
Root relative squared error
0.3161
SciMark benchmark
1436.739[1018.23742041868831228.9253264645722675.52177256989231346.74539698560032914.2652732708525]