DEVELOPMENT... OpenML
Run
126090

Run 126090

Task 3784 (Supervised Classification) analcatdata_seropositive 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
0.9401
Per class
Build CPU time
0.0038
Build memory
2168851146.9091
F measure
0.9234
Per class
Kappa
0.8297
KB relative information score
101.3084
Mean absolute error
0.1086
Mean prior absolute error
0.4548
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9244
Per class
Predictive accuracy
0.9242
Prior entropy
0.9347
Recall
0.9242
Per class
Relative absolute error
0.2388
Root mean prior squared error
0.4765
Root mean squared error
0.2569
Root relative squared error
0.5391
SciMark benchmark
937.9119