DEVELOPMENT... OpenML
Run
125859

Run 125859

Task 3498 (Supervised Classification) pasture 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
0.7384
Per class
Build CPU time
0.0271
Build memory
1542130313.3333
F measure
0.6012
Per class
Kappa
0.4167
KB relative information score
17.4458
Mean absolute error
0.2484
Mean prior absolute error
0.4444
Number of instances
36
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5949
Per class
Predictive accuracy
0.6111
Prior entropy
1.585
Recall
0.6111
Per class
Relative absolute error
0.559
Root mean prior squared error
0.4714
Root mean squared error
0.4891
Root relative squared error
1.0376
SciMark benchmark
943.5504