Run
107454

Run 107454

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

weka.AdaBoostM1_BFTree(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_BFTree(2)_I40
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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
0.9955
Per class
Cross-validation details (33% Holdout set)
Build CPU time
4.953
Cross-validation details (33% Holdout set)
Build memory
2362854968
Cross-validation details (33% Holdout set)
F measure
0.9841
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9664
Cross-validation details (33% Holdout set)
KB relative information score
314.9982
Cross-validation details (33% Holdout set)
Mean absolute error
0.0168
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4641
Cross-validation details (33% Holdout set)
Number of instances
316
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9843
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9842
Cross-validation details (33% Holdout set)
Prior entropy
0.9312
Cross-validation details (33% Holdout set)
Recall
0.9842
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0362
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4874
Cross-validation details (33% Holdout set)
Root mean squared error
0.1219
Cross-validation details (33% Holdout set)
Root relative squared error
0.2501
Cross-validation details (33% Holdout set)
SciMark benchmark
943.1304