DEVELOPMENT... OpenML
Run
69

Run 69

Task 54 (Supervised Classification) hepatitis 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
0.8082
Per class
F measure
0.8009
Per class
Kappa
0.3627
KB relative information score
43.3207
Mean absolute error
0.2108
Mean prior absolute error
0.3299
Number of instances
155
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.796
Per class
Predictive accuracy
0.8129
Prior entropy
0.7418
Recall
0.8129
Per class
Relative absolute error
0.6392
Root mean prior squared error
0.4048
Root mean squared error
0.3732
Root relative squared error
0.922
SciMark benchmark
1998.7174