DEVELOPMENT... OpenML
Run
125683

Run 125683

Task 237 (Supervised Classification) audiology 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
0.8513
Per class
Build CPU time
1.244
Build memory
329702544
F measure
0.6769
Per class
Kappa
0.6786
KB relative information score
47.7642
Mean absolute error
0.0233
Mean prior absolute error
0.0736
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6728
Per class
Predictive accuracy
0.7162
Prior entropy
3.6349
Recall
0.7162
Per class
Relative absolute error
0.3164
Root mean prior squared error
0.1925
Root mean squared error
0.1517
Root relative squared error
0.7879
SciMark benchmark
908.8705