DEVELOPMENT... OpenML
Run
125050

Run 125050

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)_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
0.8254
Per class
Build CPU time
0.0369
Build memory
1661602364.6304
F measure
0.7707
Per class
Kappa
0.5125
KB relative information score
164.1862
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
0.7738
Per class
Predictive accuracy
0.769
Prior entropy
0.9509
Recall
0.769
Per class
Relative absolute error
0.5485
Root mean prior squared error
0.4827
Root mean squared error
0.4082
Root relative squared error
0.8456
SciMark benchmark
943.5504