DEVELOPMENT... OpenML
Run
116166

Run 116166

Task 3717 (Supervised Classification) analcatdata_gsssexsurvey 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
0.5779
Per class
Build CPU time
0.0254
Build memory
894069468.0755
F measure
0.6939
Per class
Kappa
0.0281
KB relative information score
-3.3239
Mean absolute error
0.3134
Mean prior absolute error
0.3453
Number of instances
159
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6713
Per class
Predictive accuracy
0.7484
Prior entropy
0.7667
Recall
0.7484
Per class
Relative absolute error
0.9076
Root mean prior squared error
0.4143
Root mean squared error
0.4394
Root relative squared error
1.0604
SciMark benchmark
945.0554

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