DEVELOPMENT... OpenML
Run
20730

Run 20730

Task 37 (Supervised Classification) diabetes 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
0.7503
Per class
F measure
0.7383
Per class
Kappa
0.4192
KB relative information score
313.7497
Mean absolute error
0.2583
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7368
Per class
Predictive accuracy
0.7409
Prior entropy
0.9335
Recall
0.7409
Per class
Relative absolute error
0.5682
Root mean prior squared error
0.4766
Root mean squared error
0.5016
Root relative squared error
1.0524
SciMark benchmark
944.4584[560.48863959327881013.6533323510344483.449727694041908.64471704177161756.0556588021248]