DEVELOPMENT... OpenML
Run
127536

Run 127536

Task 1773 (Supervised Classification) autos 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
0.7626
Per class
Build CPU time
0.0405
Build memory
807768423.9063
F measure
0.5387
Per class
Kappa
0.407
KB relative information score
327.5739
Mean absolute error
0.1747
Mean prior absolute error
0.2209
Number of instances
1025
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.574
Per class
Predictive accuracy
0.5317
Prior entropy
2.3268
Recall
0.5317
Per class
Relative absolute error
0.7907
Root mean prior squared error
0.3318
Root mean squared error
0.3146
Root relative squared error
0.9483
SciMark benchmark
929.5397