DEVELOPMENT... OpenML
Run
116909

Run 116909

Task 49 (Supervised Classification) tic-tac-toe Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I80
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9999
Per class
Build CPU time
8.6078
Build memory
122306418.6806
F measure
0.9969
Per class
Kappa
0.9931
KB relative information score
949.2612
Mean absolute error
0.0041
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
0.9969
Per class
Predictive accuracy
0.9969
Prior entropy
0.9312
Recall
0.9969
Per class
Relative absolute error
0.0091
Root mean prior squared error
0.4759
Root mean squared error
0.0519
Root relative squared error
0.109
SciMark benchmark
925.481