DEVELOPMENT... OpenML
Run
125594

Run 125594

Task 3891 (Supervised Classification) gina_agnostic 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)_I160
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
0.8951
Per class
Build CPU time
32.2088
Build memory
997602249.9239
F measure
0.814
Per class
Kappa
0.6282
KB relative information score
1989.2184
Mean absolute error
0.22
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8148
Per class
Predictive accuracy
0.814
Prior entropy
0.9998
Recall
0.814
Per class
Relative absolute error
0.44
Root mean prior squared error
0.4999
Root mean squared error
0.3704
Root relative squared error
0.7409
SciMark benchmark
943.2074