DEVELOPMENT... OpenML
Run
114586

Run 114586

Task 3747 (Supervised Classification) fri_c0_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)_I20
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
0.9384
Per class
Build CPU time
0.255
Build memory
537865786.4
F measure
0.8539
Per class
Kappa
0.708
KB relative information score
352.3292
Mean absolute error
0.1485
Mean prior absolute error
0.5
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
0.8544
Per class
Predictive accuracy
0.854
Prior entropy
1
Recall
0.854
Per class
Relative absolute error
0.297
Root mean prior squared error
0.5
Root mean squared error
0.3622
Root relative squared error
0.7245
SciMark benchmark
919.5971