DEVELOPMENT... OpenML
Run
127573

Run 127573

Task 1817 (Supervised Classification) vehicle 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
0.7444
Per class
Build CPU time
0.0136
Build memory
279535393.6
F measure
0.4033
Per class
Kappa
0.2543
KB relative information score
1299.8978
Mean absolute error
0.2918
Mean prior absolute error
0.3748
Number of instances
4230
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4847
Per class
Predictive accuracy
0.4366
Prior entropy
1.9991
Recall
0.4366
Per class
Relative absolute error
0.7784
Root mean prior squared error
0.4329
Root mean squared error
0.4632
Root relative squared error
1.07
SciMark benchmark
943.2074