DEVELOPMENT... OpenML
Run
126837

Run 126837

Task 14 (Supervised Classification) mfeat-fourier 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
0.9391
Per class
Build CPU time
5.6855
Build memory
775990844.8
F measure
0.7861
Per class
Kappa
0.7639
KB relative information score
1363.9367
Mean absolute error
0.0833
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
0.7881
Per class
Predictive accuracy
0.7875
Prior entropy
3.3219
Recall
0.7875
Per class
Relative absolute error
0.4628
Root mean prior squared error
0.3
Root mean squared error
0.185
Root relative squared error
0.6167
SciMark benchmark
908.8705