DEVELOPMENT... OpenML
Run
115816

Run 115816

Task 47 (Supervised Classification) tae 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)_I160
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
0.5968
Per class
Build CPU time
0.0281
Build memory
412218001.5364
F measure
0.4424
Per class
Kappa
0.1644
KB relative information score
15.0845
Mean absolute error
0.42
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4443
Per class
Predictive accuracy
0.4437
Prior entropy
1.5845
Recall
0.4437
Per class
Relative absolute error
0.9453
Root mean prior squared error
0.4713
Root mean squared error
0.46
Root relative squared error
0.976
SciMark benchmark
913.3372