DEVELOPMENT... OpenML
Run
50995

Run 50995

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.MultiBoostAB_OneR(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.OneR(3)_B6
weka.MultiBoostAB_OneR(2)_C3
weka.MultiBoostAB_OneR(2)_P100
weka.MultiBoostAB_OneR(2)_S1
weka.MultiBoostAB_OneR(2)_I10
weka.MultiBoostAB_OneR(2)_Wweka.classifiers.rules.OneR

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
0.7569 ± 0.042
Per class
Build CPU time
0.0023
Build memory
1171469153.9556
F measure
0.6994 ± 0.0356
Per class
Kappa
0.3362 ± 0.0795
KB relative information score
0.2873 ± 0.0694
Mean absolute error
0.3114 ± 0.0291
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
0.6994 ± 0.0363
Per class
Predictive accuracy
0.6994 ± 0.037
Prior entropy
0.931 ± 0.0039
Recall
0.6994 ± 0.037
Per class
Relative absolute error
0.6874 ± 0.0643
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.491 ± 0.0319
Root relative squared error
1.0318 ± 0.0675
SciMark benchmark
1899.2826