DEVELOPMENT... OpenML
Run
124469

Run 124469

Task 49 (Supervised Classification) tic-tac-toe Uploaded 24-12-2014 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)_I10
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
0.9283
Per class
Build CPU time
9.8298
Build memory
108533451.0564
F measure
0.8667
Per class
Kappa
0.7062
KB relative information score
590.9455
Mean absolute error
0.1757
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
0.867
Per class
Predictive accuracy
0.8664
Prior entropy
0.9312
Recall
0.8664
Per class
Relative absolute error
0.3877
Root mean prior squared error
0.4759
Root mean squared error
0.319
Root relative squared error
0.6703
SciMark benchmark
872.1114