DEVELOPMENT... OpenML
Run
127538

Run 127538

Task 1775 (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
0.986
Per class
Build CPU time
0.0194
Build memory
703112853.6064
F measure
0.8934
Per class
Kappa
0.8162
KB relative information score
2426.7415
Mean absolute error
0.0901
Mean prior absolute error
0.3798
Number of instances
3125
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8911
Per class
Predictive accuracy
0.896
Prior entropy
1.3212
Recall
0.896
Per class
Relative absolute error
0.2372
Root mean prior squared error
0.4356
Root mean squared error
0.211
Root relative squared error
0.4843
SciMark benchmark
943.2074