DEVELOPMENT... OpenML
Run
48859

Run 48859

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.DecisionStump(2)Weka implementation of DecisionStump

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
0.6461 ± 0.0421
Per class
Build CPU time
0.0001
Build memory
2919701736.1778
F measure
0.7002 ± 0.036
Per class
Kappa
0.34 ± 0.0806
KB relative information score
0.1264 ± 0.0354
Mean absolute error
0.4008 ± 0.0114
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
0.7011 ± 0.0366
Per class
Predictive accuracy
0.6994 ± 0.037
Prior entropy
0.931 ± 0.0039
Recall
0.6994 ± 0.037
Per class
Relative absolute error
0.8848 ± 0.0253
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.448 ± 0.0136
Root relative squared error
0.9413 ± 0.0292
SciMark benchmark
1193.7396