DEVELOPMENT... OpenML
Run
125705

Run 125705

Task 264 (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)_I80
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
0.5208
Per class
Build CPU time
0.003
Build memory
542336616
F measure
0.6356
Per class
Kappa
0.0369
KB relative information score
-7.6437
Mean absolute error
0.3387
Mean prior absolute error
0.2798
Number of instances
29
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6211
Per class
Predictive accuracy
0.6897
Prior entropy
1.0305
Recall
0.6897
Per class
Relative absolute error
1.2105
Root mean prior squared error
0.3657
Root mean squared error
0.4066
Root relative squared error
1.1117
SciMark benchmark
908.8705