DEVELOPMENT... OpenML
Run
25860

Run 25860

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)_B50
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
0.9973
Per class
Build memory
109976958.4
F measure
0.9467
Per class
Kappa
0.92
KB relative information score
128.2435
Mean absolute error
0.0864
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
0.9467
Per class
Predictive accuracy
0.9467
Prior entropy
1.585
Recall
0.9467
Per class
Relative absolute error
0.1943
Root mean prior squared error
0.4714
Root mean squared error
0.1639
Root relative squared error
0.3476
SciMark benchmark
1701.2831[1016.45727257816841238.402965993701663.21300298302971359.66798455497814228.6743679339]

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