DEVELOPMENT... OpenML
Run
20976

Run 20976

Task 49 (Supervised Classification) tic-tac-toe Uploaded 18-06-2014 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)_I20
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
0.9899
Per class
F measure
0.9559
Per class
Kappa
0.902
KB relative information score
736.0601
Mean absolute error
0.1159
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
0.9563
Per class
Predictive accuracy
0.9562
Prior entropy
0.9312
Recall
0.9562
Per class
Relative absolute error
0.2559
Root mean prior squared error
0.4759
Root mean squared error
0.2109
Root relative squared error
0.4432
SciMark benchmark
932.1384[502.80792996545441012.3219999497024481.9307652369574906.44537908266061757.1857345400422]