DEVELOPMENT... OpenML
Run
115347

Run 115347

Task 264 (Supervised Classification) postoperative-patient-data Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(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_JRip(2)_I80
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.5
Per class
Build CPU time
0.004
Build memory
418143792
F measure
0.6083
Per class
KB relative information score
0.1516
Mean absolute error
0.2781
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
0.5244
Per class
Predictive accuracy
0.7241
Prior entropy
1.0305
Recall
0.7241
Per class
Relative absolute error
0.9939
Root mean prior squared error
0.3657
Root mean squared error
0.3657
Root relative squared error
0.9999
SciMark benchmark
935.6292