DEVELOPMENT... OpenML
Run
125757

Run 125757

Task 1799 (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)_I80
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
0.9744
Per class
Build CPU time
0.2477
Build memory
717614611.2
F measure
0.9439
Per class
Kappa
0.9289
KB relative information score
1698.9588
Mean absolute error
0.0192
Mean prior absolute error
0.2664
Number of instances
1830
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9454
Per class
Predictive accuracy
0.9432
Prior entropy
2.4378
Recall
0.9432
Per class
Relative absolute error
0.0722
Root mean prior squared error
0.3649
Root mean squared error
0.1336
Root relative squared error
0.3662
SciMark benchmark
908.8705