DEVELOPMENT... OpenML
Run
48631

Run 48631

Task 2098 (Learning Curve) abalone 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.

19 Evaluation measures

Area under ROC curve
0.5529 ± 0.0153
Per class
Build CPU time
0.194
Build memory
3641886581.3539
Kappa
0.0314 ± 0.0157
KB relative information score
0.0596 ± 0.0139
Mean absolute error
0.0603 ± 0.0004
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.1839 ± 0.0117
Prior entropy
3.6031 ± 0.0188
Recall
0.1839 ± 0.0117
Per class
Relative absolute error
0.9765 ± 0.0069
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1753 ± 0.0009
Root relative squared error
0.9978 ± 0.0054
SciMark benchmark
1729.8248