DEVELOPMENT... OpenML
Run
127358

Run 127358

Task 3857 (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)_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
0.9717
Per class
Build CPU time
0.2396
Build memory
1420082562.1088
F measure
0.9234
Per class
Kappa
0.7974
KB relative information score
613.782
Mean absolute error
0.1052
Mean prior absolute error
0.3828
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9233
Per class
Predictive accuracy
0.9244
Prior entropy
0.8241
Recall
0.9244
Per class
Relative absolute error
0.2749
Root mean prior squared error
0.4374
Root mean squared error
0.2347
Root relative squared error
0.5366
SciMark benchmark
937.9119