DEVELOPMENT... OpenML
Run
22689

Run 22689

Task 49 (Supervised Classification) tic-tac-toe Uploaded 22-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_J48(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(1)_C0.25
weka.J48(1)_M2
weka.MultiBoostAB_J48(1)_C3
weka.MultiBoostAB_J48(1)_I10
weka.MultiBoostAB_J48(1)_P100
weka.MultiBoostAB_J48(1)_S1
weka.MultiBoostAB_J48(1)_Wweka.classifiers.trees.J48

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9868
Per class
F measure
0.9473
Per class
Kappa
0.8828
KB relative information score
843.3803
Mean absolute error
0.0519
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
0.9482
Per class
Predictive accuracy
0.9478
Prior entropy
0.9312
Recall
0.9478
Per class
Relative absolute error
0.1145
Root mean prior squared error
0.4759
Root mean squared error
0.2066
Root relative squared error
0.4342
SciMark benchmark
938.598[551.80026340799491001.2756661255861474.2676028917832909.59057174132591756.0556588021248]

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