DEVELOPMENT... OpenML
Run
22084

Run 22084

Task 49 (Supervised Classification) tic-tac-toe Uploaded 21-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(1)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_RandomForest(1)_I160
weka.AdaBoostM1_RandomForest(1)_P100
weka.AdaBoostM1_RandomForest(1)_S1
weka.AdaBoostM1_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
0.9902
Per class
F measure
0.958
Per class
Kappa
0.9069
KB relative information score
739.292
Mean absolute error
0.1145
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
0.9583
Per class
Predictive accuracy
0.9582
Prior entropy
0.9312
Recall
0.9582
Per class
Relative absolute error
0.2527
Root mean prior squared error
0.4759
Root mean squared error
0.2082
Root relative squared error
0.4376
SciMark benchmark
921.778[553.2003512620804987.4224701806577469.70333233980045889.22660810907861709.3374146811013]