DEVELOPMENT... OpenML
Run
109156

Run 109156

Task 279 (Supervised Classification) tic-tac-toe Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_IBk(2)_I40
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.9985
Per class
Build CPU time
0.045
Build memory
133780088
F measure
0.9777
Per class
Kappa
0.9526
KB relative information score
206.1055
Mean absolute error
0.2017
Mean prior absolute error
0.4641
Number of instances
316
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9786
Per class
Predictive accuracy
0.9778
Prior entropy
0.9312
Recall
0.9778
Per class
Relative absolute error
0.4347
Root mean prior squared error
0.4874
Root mean squared error
0.2547
Root relative squared error
0.5226
SciMark benchmark
873.8637