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Run
273

Run 273

Task 34 (Supervised Classification) postoperative-patient-data 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
0.4284
Per class
F measure
0.5856
Per class
Kappa
-0.021
KB relative information score
-27.4665
Mean absolute error
0.3525
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.5034
Per class
Predictive accuracy
0.7
Prior entropy
1.0305
Recall
0.7
Per class
Relative absolute error
1.2278
Root mean prior squared error
0.3755
Root mean squared error
0.403
Root relative squared error
1.0732
SciMark benchmark
2006.9855