DEVELOPMENT... OpenML
Run
125701

Run 125701

Task 246 (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)_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
0.9739
Per class
Build CPU time
27.924
Build memory
622191152
F measure
0.9326
Per class
Kappa
0.9242
KB relative information score
615.6296
Mean absolute error
0.0132
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9366
Per class
Predictive accuracy
0.9318
Prior entropy
3.3219
Recall
0.9318
Per class
Relative absolute error
0.0732
Root mean prior squared error
0.3
Root mean squared error
0.1127
Root relative squared error
0.3758
SciMark benchmark
908.8705