DEVELOPMENT... OpenML
Run
54694

Run 54694

Task 1757 (Learning Curve) waveform-5000 Uploaded 09-11-2014 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
0.9479 ± 0.0102
Per class
Build CPU time
3.0232
Build memory
512318935.6571
F measure
0.8311 ± 0.0207
Per class
Kappa
0.7468 ± 0.031
KB relative information score
0.7604 ± 0.0244
Mean absolute error
0.1194 ± 0.0115
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8311 ± 0.0209
Per class
Predictive accuracy
0.8312 ± 0.0206
Prior entropy
1.5849 ± 0
Recall
0.8312 ± 0.0206
Per class
Relative absolute error
0.2687 ± 0.0259
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.3046 ± 0.0168
Root relative squared error
0.6461 ± 0.0357
SciMark benchmark
1645.7101