DEVELOPMENT... OpenML
Run
121222

Run 121222

Task 279 (Supervised Classification) tic-tac-toe Uploaded 11-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I80
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9831
Per class
Build CPU time
137.506
Build memory
126790144
F measure
0.9778
Per class
Kappa
0.9531
KB relative information score
311.8931
Mean absolute error
0.0208
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
0.9778
Per class
Predictive accuracy
0.9778
Prior entropy
0.9312
Recall
0.9778
Per class
Relative absolute error
0.0448
Root mean prior squared error
0.4874
Root mean squared error
0.1414
Root relative squared error
0.2901
SciMark benchmark
939.0159