DEVELOPMENT... OpenML
Run
126300

Run 126300

Task 257 (Supervised Classification) colic 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)_I40
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
0.7647
Per class
Build CPU time
0.03
Build memory
1895696992
F measure
0.7596
Per class
Kappa
0.5145
KB relative information score
55.5227
Mean absolute error
0.2823
Mean prior absolute error
0.4882
Number of instances
121
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7599
Per class
Predictive accuracy
0.7603
Prior entropy
0.9509
Recall
0.7603
Per class
Relative absolute error
0.5782
Root mean prior squared error
0.505
Root mean squared error
0.4747
Root relative squared error
0.9399
SciMark benchmark
943.2074

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