DEVELOPMENT... OpenML
Run
48641

Run 48641

Task 1720 (Learning Curve) car 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
0.9951 ± 0.0036
Per class
Build CPU time
0.2834
Build memory
1619475884.5091
F measure
0.9484 ± 0.0218
Per class
Kappa
0.8872 ± 0.0486
KB relative information score
0.8588 ± 0.0492
Mean absolute error
0.0305 ± 0.0116
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.949 ± 0.0214
Per class
Predictive accuracy
0.9479 ± 0.0223
Prior entropy
1.2058 ± 0.0093
Recall
0.9479 ± 0.0223
Per class
Relative absolute error
0.133 ± 0.0508
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.1447 ± 0.0317
Root relative squared error
0.4281 ± 0.0933
SciMark benchmark
1970.0822

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