DEVELOPMENT... OpenML
Run
114122

Run 114122

Task 3862 (Supervised Classification) audiology 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)_I10
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
0.9558
Per class
Build CPU time
0.0556
Build memory
305252943.9292
F measure
0.9555
Per class
Kappa
0.8813
KB relative information score
194.6446
Mean absolute error
0.0456
Mean prior absolute error
0.3783
Number of instances
226
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9554
Per class
Predictive accuracy
0.9558
Prior entropy
0.8182
Recall
0.9558
Per class
Relative absolute error
0.1205
Root mean prior squared error
0.4343
Root mean squared error
0.2049
Root relative squared error
0.4719
SciMark benchmark
945.0532