DEVELOPMENT... OpenML
Run
47997

Run 47997

Task 1748 (Learning Curve) tic-tac-toe Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.BayesNet_K2(2)Weka implementation of BayesNet
weka.BayesNet_K2(2)_Dtrue
weka.BayesNet_K2(2)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(2)_P1
weka.K2(2)_SBAYES

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
0.7448 ± 0.0587
Per class
Build CPU time
0.0004
Build memory
934998592.8889
F measure
0.682 ± 0.0484
Per class
Kappa
0.2821 ± 0.1071
KB relative information score
0.1878 ± 0.0572
Mean absolute error
0.3682 ± 0.0212
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.682 ± 0.0536
Per class
Predictive accuracy
0.6962 ± 0.0489
Prior entropy
0.931 ± 0.0039
Recall
0.6962 ± 0.0489
Per class
Relative absolute error
0.8127 ± 0.0462
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.43 ± 0.0223
Root relative squared error
0.9037 ± 0.0461
SciMark benchmark
1771.6524