DEVELOPMENT... OpenML
Run
126886

Run 126886

Task 241 (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)_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
0.9845
Per class
Build CPU time
0.048
Build memory
1349906832
F measure
0.8734
Per class
Kappa
0.7907
KB relative information score
165.7527
Mean absolute error
0.0861
Mean prior absolute error
0.3857
Number of instances
206
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8708
Per class
Predictive accuracy
0.8786
Prior entropy
1.3212
Recall
0.8786
Per class
Relative absolute error
0.2233
Root mean prior squared error
0.4424
Root mean squared error
0.2251
Root relative squared error
0.5089
SciMark benchmark
937.9119