DEVELOPMENT... OpenML
Run
115805

Run 115805

Task 34 (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)_I160
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
0.3279
Per class
Build CPU time
0.0113
Build memory
416562595.2
F measure
0.61
Per class
Kappa
0.0331
KB relative information score
-22.2668
Mean absolute error
0.3427
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6424
Per class
Predictive accuracy
0.7111
Prior entropy
1.0305
Recall
0.7111
Per class
Relative absolute error
1.1938
Root mean prior squared error
0.3755
Root mean squared error
0.4091
Root relative squared error
1.0896
SciMark benchmark
920.7965