DEVELOPMENT... OpenML
Run
113605

Run 113605

Task 21 (Supervised Classification) car Uploaded 09-12-2014 by Felicia West
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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
0.9969
Per class
Build CPU time
1.2056
Build memory
1493681841.1852
F measure
0.9642
Per class
Kappa
0.923
KB relative information score
1529.2604
Mean absolute error
0.024
Mean prior absolute error
0.229
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9643
Per class
Predictive accuracy
0.9647
Prior entropy
1.2099
Recall
0.9647
Per class
Relative absolute error
0.1046
Root mean prior squared error
0.3381
Root mean squared error
0.127
Root relative squared error
0.3756
SciMark benchmark
917.4547

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