DEVELOPMENT... OpenML
Run
127555

Run 127555

Task 1798 (Supervised Classification) postoperative-patient-data 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
0.3625
Per class
Build CPU time
0.0018
Build memory
466619808
F measure
0.5267
Per class
Kappa
-0.1509
KB relative information score
-80.4663
Mean absolute error
0.3237
Mean prior absolute error
0.2871
Number of instances
450
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5146
Per class
Predictive accuracy
0.54
Prior entropy
1.0305
Recall
0.54
Per class
Relative absolute error
1.1276
Root mean prior squared error
0.3755
Root mean squared error
0.5054
Root relative squared error
1.3459
SciMark benchmark
908.8705