DEVELOPMENT... OpenML
Run
50218

Run 50218

Task 1748 (Learning Curve) tic-tac-toe Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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)_B20
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
0.9986 ± 0.0009
Per class
Build CPU time
0.0001
Build memory
521080089.6889
F measure
0.9641 ± 0.0161
Per class
Kappa
0.9198 ± 0.0362
KB relative information score
0.5359 ± 0.0268
Mean absolute error
0.2446 ± 0.012
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9661 ± 0.0142
Per class
Predictive accuracy
0.9645 ± 0.0157
Prior entropy
0.931 ± 0.0039
Recall
0.9645 ± 0.0157
Per class
Relative absolute error
0.54 ± 0.0256
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.2794 ± 0.0126
Root relative squared error
0.5871 ± 0.0257
SciMark benchmark
1508.8083