DEVELOPMENT... OpenML
Run
21046

Run 21046

Task 35 (Supervised Classification) dermatology Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(1)_I80
weka.AdaBoostM1_J48(1)_P100
weka.AdaBoostM1_J48(1)_S1
weka.AdaBoostM1_J48(1)_Wweka.classifiers.trees.J48
weka.J48(1)_C0.25
weka.J48(1)_M2

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
0.9853
Per class
F measure
0.9643
Per class
Kappa
0.9556
KB relative information score
350.1253
Mean absolute error
0.0117
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
0.9648
Per class
Predictive accuracy
0.9645
Prior entropy
2.4378
Recall
0.9645
Per class
Relative absolute error
0.044
Root mean prior squared error
0.3649
Root mean squared error
0.1079
Root relative squared error
0.2956
SciMark benchmark
934.5753[551.62576616585151007.5581615570936472.38971539770705892.5570199707421748.7457828491113]