Run
61978

Run 61978

Task 1748 (Learning Curve) tic-tac-toe Uploaded 16-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.AdaBoostM1_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_DecisionStump(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_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
0.7998 ± 0.0422
Per class
Build CPU time
0.0047
Build memory
4860331744.2667
F measure
0.7092 ± 0.04
Per class
Kappa
0.3422 ± 0.0898
KB relative information score
0.2619 ± 0.0543
Mean absolute error
0.3351 ± 0.0208
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.718 ± 0.0443
Per class
Predictive accuracy
0.7276 ± 0.0373
Prior entropy
0.931 ± 0.0039
Recall
0.7276 ± 0.0373
Per class
Relative absolute error
0.7398 ± 0.0452
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.412 ± 0.021
Root relative squared error
0.8659 ± 0.0436
SciMark benchmark
1605.1864