DEVELOPMENT... OpenML
Run
391

Run 391

Task 50 (Supervised Classification) heart-h Uploaded 07-04-2014 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
0.907
Per class
F measure
0.7936
Per class
Kappa
0.5451
KB relative information score
125.6351
Mean absolute error
0.1029
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.797
Per class
Predictive accuracy
0.7993
Prior entropy
1.0314
Recall
0.7993
Per class
Relative absolute error
0.551
Root mean prior squared error
0.3037
Root mean squared error
0.2242
Root relative squared error
0.7381
SciMark benchmark
2021.265