DEVELOPMENT... OpenML
Run
126255

Run 126255

Task 35 (Supervised Classification) dermatology Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_NaiveBayes(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_NaiveBayes(2)_I40
weka.AdaBoostM1_NaiveBayes(2)_P100
weka.AdaBoostM1_NaiveBayes(2)_S1
weka.AdaBoostM1_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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
0.9799
Per class
Build CPU time
0.3002
Build memory
955803151.1257
F measure
0.9431
Per class
Kappa
0.9282
KB relative information score
338.332
Mean absolute error
0.0196
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
0.9447
Per class
Predictive accuracy
0.9426
Prior entropy
2.4378
Recall
0.9426
Per class
Relative absolute error
0.0736
Root mean prior squared error
0.3649
Root mean squared error
0.138
Root relative squared error
0.3782
SciMark benchmark
937.9119