DEVELOPMENT... OpenML
Run
117446

Run 117446

Task 279 (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)_I40
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
1
Per class
Build CPU time
2.94
Build memory
133694576
F measure
0.9905
Per class
Kappa
0.9798
KB relative information score
320.6506
Mean absolute error
0.0095
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
0.9907
Per class
Predictive accuracy
0.9905
Prior entropy
0.9312
Recall
0.9905
Per class
Relative absolute error
0.0205
Root mean prior squared error
0.4874
Root mean squared error
0.0757
Root relative squared error
0.1553
SciMark benchmark
924.6733