DEVELOPMENT... OpenML
Run
145763

Run 145763

Task 49 (Supervised Classification) tic-tac-toe Uploaded 31-01-2015 by Felicia West
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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)_I20
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.

22 Evaluation measures

Area under ROC curve
0.9979
Per class
F measure
0.9895
Per class
Kappa
0.9769
KB relative information score
933.2494
Mean absolute error
0.0112
Mean prior absolute error
0.453
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9896
Per class
Predictive accuracy
0.9896
Prior entropy
0.9312
Recall
0.9896
Per class
Relative absolute error
0.0248
Root mean prior squared error
0.4759
Root mean squared error
0.1007
Root relative squared error
0.2116
SciMark benchmark
922.8983
UserCPU time millis
3580
UserCPU time millis testing
20
UserCPU time millis training
3560