DEVELOPMENT... OpenML
Run
127110

Run 127110

Task 3576 (Supervised Classification) sleuth_ex2015 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)_I20
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
0.77
Per class
Build CPU time
0.0072
Build memory
1472543701.6
F measure
0.7656
Per class
Kappa
0.5333
KB relative information score
22.3825
Mean absolute error
0.3258
Mean prior absolute error
0.5
Number of instances
60
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7715
Per class
Predictive accuracy
0.7667
Prior entropy
1
Recall
0.7667
Per class
Relative absolute error
0.6517
Root mean prior squared error
0.5
Root mean squared error
0.4502
Root relative squared error
0.9004
SciMark benchmark
943.2074