DEVELOPMENT... OpenML
Run
25864

Run 25864

Task 59 (Supervised Classification) iris Uploaded 07-10-2014 by Felicia West
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Flow

weka.KStar(2)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(2)_B90
weka.KStar(2)_Ma

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.991
Per class
Build CPU time
0.0001
Build memory
198149855.2
F measure
0.9329
Per class
Kappa
0.9
KB relative information score
86.7905
Mean absolute error
0.2412
Mean prior absolute error
0.4444
Number of instances
150
Per class
OS information
[Oracle Corporation, 1.7.0_67, x86_64, Mac OS X, 10.9.5]
Precision
0.9403
Per class
Predictive accuracy
0.9333
Prior entropy
1.585
Recall
0.9333
Per class
Relative absolute error
0.5427
Root mean prior squared error
0.4714
Root mean squared error
0.2848
Root relative squared error
0.6041
SciMark benchmark
1701.2831[1016.45727257816841238.402965993701663.21300298302971359.66798455497814228.6743679339]

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