DEVELOPMENT... OpenML
Run
115627

Run 115627

Task 3734 (Supervised Classification) fri_c1_500_5 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)_I80
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
0.9485
Per class
Build CPU time
0.47
Build memory
771121219.2
F measure
0.8878
Per class
Kappa
0.7742
KB relative information score
390.211
Mean absolute error
0.109
Mean prior absolute error
0.4977
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8885
Per class
Predictive accuracy
0.888
Prior entropy
0.9967
Recall
0.888
Per class
Relative absolute error
0.2191
Root mean prior squared error
0.4988
Root mean squared error
0.3181
Root relative squared error
0.6376
SciMark benchmark
930.5854