DEVELOPMENT... OpenML
Run
126182

Run 126182

Task 3877 (Supervised Classification) analcatdata_dmft 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
0.5353
Per class
Build CPU time
0.0082
Build memory
1445797930.3388
F measure
0.7188
Per class
KB relative information score
-92.9825
Mean absolute error
0.3116
Mean prior absolute error
0.3138
Number of instances
797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6489
Per class
Predictive accuracy
0.8055
Prior entropy
0.7123
Recall
0.8055
Per class
Relative absolute error
0.9931
Root mean prior squared error
0.3958
Root mean squared error
0.3989
Root relative squared error
1.0078
SciMark benchmark
943.2074