DEVELOPMENT... OpenML
Run
115847

Run 115847

Task 257 (Supervised Classification) colic 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
0.8179
Per class
Build CPU time
0.081
Build memory
142307384
F measure
0.7573
Per class
Kappa
0.51
KB relative information score
62.9014
Mean absolute error
0.2496
Mean prior absolute error
0.4882
Number of instances
121
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.763
Per class
Predictive accuracy
0.7603
Prior entropy
0.9509
Recall
0.7603
Per class
Relative absolute error
0.5113
Root mean prior squared error
0.505
Root mean squared error
0.4532
Root relative squared error
0.8975
SciMark benchmark
925.481