DEVELOPMENT... OpenML
Run
127705

Run 127705

Task 3569 (Supervised Classification) prnn_viruses 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)_I10
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
0.9786
Per class
Build CPU time
0.003
Build memory
615327473.9672
F measure
0.9505
Per class
Kappa
0.908
KB relative information score
52.05
Mean absolute error
0.0249
Mean prior absolute error
0.2735
Number of instances
61
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9577
Per class
Predictive accuracy
0.9508
Prior entropy
1.5019
Recall
0.9508
Per class
Relative absolute error
0.091
Root mean prior squared error
0.3656
Root mean squared error
0.1568
Root relative squared error
0.4291
SciMark benchmark
943.2074