DEVELOPMENT... OpenML
Run
146915

Run 146915

Task 49 (Supervised Classification) tic-tac-toe Uploaded 01-02-2015 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I40
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.996
Per class
F measure
0.9916
Per class
Kappa
0.9815
KB relative information score
940.249
Mean absolute error
0.0078
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
0.9917
Per class
Predictive accuracy
0.9916
Prior entropy
0.9312
Recall
0.9916
Per class
Relative absolute error
0.0173
Root mean prior squared error
0.4759
Root mean squared error
0.0846
Root relative squared error
0.1778
SciMark benchmark
940.2751
UserCPU time millis
180
UserCPU time millis testing
10
UserCPU time millis training
170