DEVELOPMENT... OpenML
Run
48659

Run 48659

Task 1752 (Learning Curve) vehicle 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
0.9182 ± 0.0244
Per class
Build CPU time
0.2734
Build memory
1437495172.8889
F measure
0.7376 ± 0.0578
Per class
Kappa
0.6516 ± 0.0734
KB relative information score
0.6838 ± 0.0534
Mean absolute error
0.1367 ± 0.0216
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7364 ± 0.0573
Per class
Predictive accuracy
0.7388 ± 0.0549
Prior entropy
1.9991 ± 0.0005
Recall
0.7388 ± 0.0549
Per class
Relative absolute error
0.3648 ± 0.0577
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.3099 ± 0.0342
Root relative squared error
0.7159 ± 0.079
SciMark benchmark
1794.5417