DEVELOPMENT... OpenML
Run
159014

Run 159014

Task 1748 (Learning Curve) tic-tac-toe Uploaded 12-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.JRip(4)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(4)_F3
weka.JRip(4)_N2.0
weka.JRip(4)_O2
weka.JRip(4)_S1

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
0.9719 ± 0.0172
Per class
F measure
0.9728 ± 0.015
Per class
Kappa
0.9399 ± 0.0332
KB relative information score
0.9284 ± 0.0285
Mean absolute error
0.0333 ± 0.0117
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
0.9728 ± 0.0146
Per class
Predictive accuracy
0.9729 ± 0.015
Prior entropy
0.931 ± 0.0039
Recall
0.9729 ± 0.015
Per class
Relative absolute error
0.0736 ± 0.0258
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.1539 ± 0.0557
Root relative squared error
0.3234 ± 0.117
SciMark benchmark
642.8724
UserCPU time millis
60
UserCPU time millis training
60