DEVELOPMENT... OpenML
Run
57276

Run 57276

Task 1705 (Learning Curve) letter Uploaded 13-11-2014 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
0.9981 ± 0.0005
Per class
Build CPU time
48.5339
Build memory
2763650161.3333
F measure
0.9493 ± 0.0065
Per class
Kappa
0.9471 ± 0.0068
KB relative information score
0.954 ± 0.0058
Mean absolute error
0.0044 ± 0.0005
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9497 ± 0.0062
Per class
Predictive accuracy
0.9492 ± 0.0065
Prior entropy
4.6998 ± 0.0001
Recall
0.9492 ± 0.0065
Per class
Relative absolute error
0.0588 ± 0.0064
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.0568 ± 0.0036
Root relative squared error
0.2951 ± 0.0186
SciMark benchmark
1711.0442