DEVELOPMENT... OpenML
Run
116351

Run 116351

Task 3896 (Supervised Classification) ada_agnostic 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
0.8806
Per class
Build CPU time
15.4226
Build memory
304514265.8483
F measure
0.8366
Per class
Kappa
0.5534
KB relative information score
1966.912
Mean absolute error
0.1994
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8349
Per class
Predictive accuracy
0.8402
Prior entropy
0.8085
Recall
0.8402
Per class
Relative absolute error
0.5343
Root mean prior squared error
0.4319
Root mean squared error
0.3451
Root relative squared error
0.7991
SciMark benchmark
924.2473