DEVELOPMENT... OpenML
Run
126016

Run 126016

Task 3696 (Supervised Classification) autoMpg 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)_I80
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
0.9552
Per class
Build CPU time
0.0329
Build memory
888069387.6985
F measure
0.9046
Per class
Kappa
0.8088
KB relative information score
315.3205
Mean absolute error
0.1053
Mean prior absolute error
0.4987
Number of instances
398
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9048
Per class
Predictive accuracy
0.9045
Prior entropy
0.9982
Recall
0.9045
Per class
Relative absolute error
0.2111
Root mean prior squared error
0.4994
Root mean squared error
0.2737
Root relative squared error
0.548
SciMark benchmark
943.2074