DEVELOPMENT... OpenML
Run
129176

Run 129176

Task 3873 (Supervised Classification) dermatology Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(2)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_OneR(2)_I20
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
1
Per class
Build CPU time
0.0105
Build memory
1352535923.6503
F measure
0.9973
Per class
Kappa
0.9936
KB relative information score
363.012
Mean absolute error
0.0027
Mean prior absolute error
0.4251
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
0.9973
Per class
Predictive accuracy
0.9973
Prior entropy
0.8898
Recall
0.9973
Per class
Relative absolute error
0.0063
Root mean prior squared error
0.4608
Root mean squared error
0.0513
Root relative squared error
0.1113
SciMark benchmark
909.5718