Run
14812

Run 14812

Task 1748 (Learning Curve) tic-tac-toe Uploaded 03-06-2014 by Jan van Rijn
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(1)_I10
weka.AdaBoostM1_DecisionStump(1)_P100
weka.AdaBoostM1_DecisionStump(1)_S1
weka.AdaBoostM1_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.7998 ± 0.0422
Per class
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
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-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
859.7028