DEVELOPMENT... OpenML
Run
126357

Run 126357

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)_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
0.3664
Per class
Build CPU time
0.0028
Build memory
1310521768
F measure
0.5241
Per class
Kappa
-0.1489
KB relative information score
-79.9799
Mean absolute error
0.323
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
0.5154
Per class
Predictive accuracy
0.5333
Prior entropy
1.0305
Recall
0.5333
Per class
Relative absolute error
1.125
Root mean prior squared error
0.3755
Root mean squared error
0.5078
Root relative squared error
1.3523
SciMark benchmark
937.9119