DEVELOPMENT... OpenML
Run
151992

Run 151992

Task 1748 (Learning Curve) tic-tac-toe Uploaded 09-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.Prism(3)J. Cendrowska (1987). PRISM: An algorithm for inducing modular rules. International Journal of Man-Machine Studies. 27(4):349-370.

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.

22 Evaluation measures

Area under ROC curve
0.9912 ± 0.0079
Per class
F measure
0.9886 ± 0.0103
Per class
Kappa
0.9748 ± 0.0225
KB relative information score
0.9736 ± 0.0239
Mean absolute error
0.0115 ± 0.0104
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9889 ± 0.0096
Per class
Predictive accuracy
0.9885 ± 0.0104
Prior entropy
0.931 ± 0.0039
Recall
0.9885 ± 0.0104
Per class
Relative absolute error
0.0253 ± 0.0229
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.1072 ± 0.0652
Root relative squared error
0.2252 ± 0.137
SciMark benchmark
639.2945
UserCPU time millis
10
UserCPU time millis training
10