DEVELOPMENT... OpenML
Run
128010

Run 128010

Task 3915 (Supervised Classification) kc3 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
0.7262
Per class
Build CPU time
0.0755
Build memory
1065933070.1834
F measure
0.8383
Per class
Kappa
0.1821
KB relative information score
-561.3929
Mean absolute error
0.242
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8636
Per class
Predictive accuracy
0.8188
Prior entropy
0.4551
Recall
0.8188
Per class
Relative absolute error
1.4103
Root mean prior squared error
0.2917
Root mean squared error
0.3735
Root relative squared error
1.2804
SciMark benchmark
908.8705