DEVELOPMENT... OpenML
Run
47164

Run 47164

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.RealAdaBoost_JRip(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1
weka.RealAdaBoost_JRip(1)_P100
weka.RealAdaBoost_JRip(1)_H1.0
weka.RealAdaBoost_JRip(1)_S1
weka.RealAdaBoost_JRip(1)_I10
weka.RealAdaBoost_JRip(1)_Wweka.classifiers.rules.JRip

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
1
Per class
Build CPU time
0.0937
Build memory
570256256.7111
F measure
0.999 ± 0.0033
Per class
Kappa
0.9977 ± 0.0074
KB relative information score
0.9973 ± 0.0075
Mean absolute error
0.0013 ± 0.0033
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
0.999 ± 0.0032
Per class
Predictive accuracy
0.999 ± 0.0033
Prior entropy
0.931 ± 0.0039
Recall
0.999 ± 0.0033
Per class
Relative absolute error
0.0028 ± 0.0072
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.0323 ± 0.0318
Root relative squared error
0.0678 ± 0.0669
SciMark benchmark
1737.9306