DEVELOPMENT... OpenML
Run
127989

Run 127989

Task 3887 (Supervised Classification) analcatdata_germangss 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
0.9408
Per class
Build CPU time
0.0067
Build memory
598467011.2
F measure
0.8866
Per class
Kappa
0.6662
KB relative information score
243.9189
Mean absolute error
0.1222
Mean prior absolute error
0.3495
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8862
Per class
Predictive accuracy
0.89
Prior entropy
0.7716
Recall
0.89
Per class
Relative absolute error
0.3497
Root mean prior squared error
0.4176
Root mean squared error
0.29
Root relative squared error
0.6945
SciMark benchmark
929.5397