DEVELOPMENT... OpenML
Run
113633

Run 113633

Task 53 (Supervised Classification) vehicle 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
0.9246
Per class
Build CPU time
0.822
Build memory
748457365.409
F measure
0.7637
Per class
Kappa
0.6878
KB relative information score
592.7038
Mean absolute error
0.1308
Mean prior absolute error
0.3748
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7627
Per class
Predictive accuracy
0.766
Prior entropy
1.9991
Recall
0.766
Per class
Relative absolute error
0.349
Root mean prior squared error
0.4329
Root mean squared error
0.2955
Root relative squared error
0.6827
SciMark benchmark
939.6298