DEVELOPMENT... OpenML
Run
125406

Run 125406

Task 3683 (Supervised Classification) diggle_table_a2 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
0.9987
Per class
Build CPU time
0.0907
Build memory
1512155593.6
F measure
0.9839
Per class
Kappa
0.9676
KB relative information score
295.3789
Mean absolute error
0.0255
Mean prior absolute error
0.4979
Number of instances
310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9839
Per class
Predictive accuracy
0.9839
Prior entropy
0.997
Recall
0.9839
Per class
Relative absolute error
0.0513
Root mean prior squared error
0.499
Root mean squared error
0.1152
Root relative squared error
0.2308
SciMark benchmark
943.5504