DEVELOPMENT... OpenML
Run
126254

Run 126254

Task 16 (Supervised Classification) mfeat-karhunen 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)_I40
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
0.9769
Per class
Build CPU time
18.7012
Build memory
1727297791.2
F measure
0.9343
Per class
Kappa
0.9267
KB relative information score
1861.9316
Mean absolute error
0.0134
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
0.9351
Per class
Predictive accuracy
0.934
Prior entropy
3.3219
Recall
0.934
Per class
Relative absolute error
0.0747
Root mean prior squared error
0.3
Root mean squared error
0.1136
Root relative squared error
0.3788
SciMark benchmark
943.5504