DEVELOPMENT... OpenML
Run
118474

Run 118474

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)_I10
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
0.9893
Per class
Build CPU time
0.989
Build memory
74775104
F measure
0.9268
Per class
Kappa
0.8443
KB relative information score
258.6331
Mean absolute error
0.1039
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
0.9273
Per class
Predictive accuracy
0.9272
Prior entropy
0.9312
Recall
0.9272
Per class
Relative absolute error
0.2238
Root mean prior squared error
0.4874
Root mean squared error
0.2091
Root relative squared error
0.429
SciMark benchmark
937.279