DEVELOPMENT... OpenML
Run
127434

Run 127434

Task 11 (Supervised Classification) balance-scale 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
0.9913
Per class
Build CPU time
0.0335
Build memory
2002240635.3536
F measure
0.9053
Per class
Kappa
0.8384
KB relative information score
507.6936
Mean absolute error
0.0792
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9025
Per class
Predictive accuracy
0.9088
Prior entropy
1.3212
Recall
0.9088
Per class
Relative absolute error
0.2085
Root mean prior squared error
0.4356
Root mean squared error
0.1931
Root relative squared error
0.4433
SciMark benchmark
937.9119