DEVELOPMENT... OpenML
Run
20155

Run 20155

Task 54 (Supervised Classification) hepatitis Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(1)_I80
weka.AdaBoostM1_BFTree(1)_P100
weka.AdaBoostM1_BFTree(1)_S1
weka.AdaBoostM1_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1

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
0.7543
Per class
F measure
0.831
Per class
Kappa
0.4644
KB relative information score
66.9951
Mean absolute error
0.1594
Mean prior absolute error
0.3299
Number of instances
155
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.828
Per class
Predictive accuracy
0.8387
Prior entropy
0.7418
Recall
0.8387
Per class
Relative absolute error
0.4834
Root mean prior squared error
0.4048
Root mean squared error
0.3939
Root relative squared error
0.973
SciMark benchmark
869.7796[565.7608405105391993.0198336334009477.64318000025406871.48932246721681440.9849722282208]