DEVELOPMENT... OpenML
Run
17220

Run 17220

Task 49 (Supervised Classification) tic-tac-toe Uploaded 07-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomForest(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomForest(1)_C3
weka.MultiBoostAB_RandomForest(1)_I10
weka.MultiBoostAB_RandomForest(1)_P100
weka.MultiBoostAB_RandomForest(1)_S1
weka.MultiBoostAB_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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
0.9782
Per class
F measure
0.9484
Per class
Kappa
0.885
KB relative information score
716.5899
Mean absolute error
0.1249
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
0.9493
Per class
Predictive accuracy
0.9489
Prior entropy
0.9312
Recall
0.9489
Per class
Relative absolute error
0.2758
Root mean prior squared error
0.4759
Root mean squared error
0.2283
Root relative squared error
0.4798
SciMark benchmark
883.1156[566.8640103967047961.0748192432727466.64135976403253885.62161020818121535.3761842393953]