DEVELOPMENT... OpenML
Run
95312

Run 95312

Task 49 (Supervised Classification) tic-tac-toe Uploaded 08-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.7993
Per class
Build CPU time
0.0126
Build memory
55027149.0856
F measure
0.7172
Per class
Kappa
0.3603
KB relative information score
256.2906
Mean absolute error
0.3332
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
0.7267
Per class
Predictive accuracy
0.7349
Prior entropy
0.9312
Recall
0.7349
Per class
Relative absolute error
0.7356
Root mean prior squared error
0.4759
Root mean squared error
0.4108
Root relative squared error
0.8633
SciMark benchmark
930.1524