DEVELOPMENT... OpenML
Run
114303

Run 114303

Task 1798 (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)_I20
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
0.3671
Per class
Build CPU time
0.0047
Build memory
279531435.2
F measure
0.5448
Per class
Kappa
-0.1198
KB relative information score
-78.2999
Mean absolute error
0.3218
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
0.5216
Per class
Predictive accuracy
0.5733
Prior entropy
1.0305
Recall
0.5733
Per class
Relative absolute error
1.1209
Root mean prior squared error
0.3755
Root mean squared error
0.4732
Root relative squared error
1.2602
SciMark benchmark
937.6343