DEVELOPMENT... OpenML
Run
123870

Run 123870

Task 49 (Supervised Classification) tic-tac-toe Uploaded 22-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LWL_DecisionStump(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_LWL_DecisionStump(2)_I20
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.9674
Per class
Build CPU time
21.5838
Build memory
419036333.8205
F measure
0.9155
Per class
Kappa
0.8134
KB relative information score
738.1049
Mean absolute error
0.1045
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
0.9155
Per class
Predictive accuracy
0.9154
Prior entropy
0.9312
Recall
0.9154
Per class
Relative absolute error
0.2306
Root mean prior squared error
0.4759
Root mean squared error
0.2573
Root relative squared error
0.5407
SciMark benchmark
927.3354