Run
25864

Run 25864

Task 59 (Supervised Classification) iris Uploaded 07-10-2014 by Joaquin Vanschoren
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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
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0001
Cross-validation details (10-fold Crossvalidation)
Build memory
198149855.2
Cross-validation details (10-fold Crossvalidation)
F measure
0.9329
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9
Cross-validation details (10-fold Crossvalidation)
KB relative information score
86.7905
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2412
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_67, x86_64, Mac OS X, 10.9.5]
Precision
0.9403
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9333
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9333
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5427
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2848
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6041
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1701.2831[1016.45727257816841238.402965993701663.21300298302971359.66798455497814228.6743679339]