DEVELOPMENT... OpenML
Run
127443

Run 127443

Task 22 (Supervised Classification) mfeat-zernike 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
0.9075
Per class
Build CPU time
1.7492
Build memory
669237153.6
F measure
0.733
Per class
Kappa
0.7044
KB relative information score
893.1432
Mean absolute error
0.137
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.733
Per class
Predictive accuracy
0.734
Prior entropy
3.3219
Recall
0.734
Per class
Relative absolute error
0.761
Root mean prior squared error
0.3
Root mean squared error
0.2369
Root relative squared error
0.7895
SciMark benchmark
943.2074