DEVELOPMENT... OpenML
Run
132269

Run 132269

Task 49 (Supervised Classification) tic-tac-toe Uploaded 26-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I40
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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.

21 Evaluation measures

Area under ROC curve
0.9985
Per class
Build CPU time
0.1036
Build memory
2193949683.691
F measure
0.9758
Per class
Kappa
0.9463
KB relative information score
560.0067
Mean absolute error
0.2205
Mean prior absolute error
0.453
Number of instances
958
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.9764
Per class
Predictive accuracy
0.976
Prior entropy
0.9312
Recall
0.976
Per class
Relative absolute error
0.4867
Root mean prior squared error
0.4759
Root mean squared error
0.2581
Root relative squared error
0.5424
SciMark benchmark
872.1114