DEVELOPMENT... OpenML
Run
127448

Run 127448

Task 27 (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)_I10
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
0.8338
Per class
Build CPU time
0.0255
Build memory
597812563.5652
F measure
0.7843
Per class
Kappa
0.5418
KB relative information score
165.0473
Mean absolute error
0.2557
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7877
Per class
Predictive accuracy
0.7826
Prior entropy
0.9509
Recall
0.7826
Per class
Relative absolute error
0.5485
Root mean prior squared error
0.4827
Root mean squared error
0.4025
Root relative squared error
0.8339
SciMark benchmark
943.2074