DEVELOPMENT... OpenML
Run
23973

Run 23973

Task 35 (Supervised Classification) dermatology Uploaded 29-06-2014 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
0.9856
Per class
F measure
0.9727
Per class
Kappa
0.9658
KB relative information score
352.8749
Mean absolute error
0.0094
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9727
Per class
Predictive accuracy
0.9727
Prior entropy
2.4378
Recall
0.9727
Per class
Relative absolute error
0.0353
Root mean prior squared error
0.3649
Root mean squared error
0.0959
Root relative squared error
0.2628
SciMark benchmark
946.9652[567.60190887821451014.7208839634673483.0147548568529911.17132945493631758.3171307218695]