DEVELOPMENT... OpenML
Run
41

Run 41

Task 4 (Supervised Classification) labor Uploaded 06-04-2014 by Jason
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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
0.9865
Per class
F measure
0.9277
Per class
Kappa
0.8385
KB relative information score
44.0983
Mean absolute error
0.1044
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.9367
Per class
Predictive accuracy
0.9298
Prior entropy
0.9393
Recall
0.9298
Per class
Relative absolute error
0.2283
Root mean prior squared error
0.4773
Root mean squared error
0.2434
Root relative squared error
0.5099
SciMark benchmark
1965.4515

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