DEVELOPMENT... OpenML
Run
127310

Run 127310

Task 3804 (Supervised Classification) lowbwt 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)_I20
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
0.8494
Per class
Build CPU time
0.0091
Build memory
681988401.6931
F measure
0.8129
Per class
Kappa
0.626
KB relative information score
103.403
Mean absolute error
0.2342
Mean prior absolute error
0.4989
Number of instances
189
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8216
Per class
Predictive accuracy
0.8148
Prior entropy
0.9984
Recall
0.8148
Per class
Relative absolute error
0.4695
Root mean prior squared error
0.4994
Root mean squared error
0.3813
Root relative squared error
0.7635
SciMark benchmark
929.5397