DEVELOPMENT... OpenML
Run
125611

Run 125611

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)_I160
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
0.7221
Per class
Build CPU time
0.0826
Build memory
1034089497.0306
F measure
0.8527
Per class
Kappa
0.2275
KB relative information score
-529.4096
Mean absolute error
0.2352
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
0.8707
Per class
Predictive accuracy
0.8384
Prior entropy
0.4551
Recall
0.8384
Per class
Relative absolute error
1.371
Root mean prior squared error
0.2917
Root mean squared error
0.3688
Root relative squared error
1.2643
SciMark benchmark
943.2074