DEVELOPMENT... OpenML
Run
48638

Run 48638

Task 1714 (Learning Curve) breast-w Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.9795 ± 0.0125
Per class
Build CPU time
0.0202
Build memory
3207948829.5
F measure
0.9528 ± 0.0251
Per class
Kappa
0.8956 ± 0.0551
KB relative information score
0.8906 ± 0.0563
Mean absolute error
0.0477 ± 0.0243
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9528 ± 0.0242
Per class
Predictive accuracy
0.9528 ± 0.0252
Prior entropy
0.9293 ± 0.0043
Recall
0.9528 ± 0.0252
Per class
Relative absolute error
0.1055 ± 0.0537
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.207 ± 0.0577
Root relative squared error
0.4355 ± 0.1215
SciMark benchmark
1729.8248