DEVELOPMENT... OpenML
Run
115175

Run 115175

Task 3794 (Supervised Classification) disclosure_z 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)_I40
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
0.5502
Per class
Build CPU time
0.104
Build memory
3656604525.8006
F measure
0.5664
Per class
Kappa
0.1301
KB relative information score
21.8165
Mean absolute error
0.486
Mean prior absolute error
0.4987
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5666
Per class
Predictive accuracy
0.568
Prior entropy
0.9981
Recall
0.568
Per class
Relative absolute error
0.9746
Root mean prior squared error
0.4993
Root mean squared error
0.5072
Root relative squared error
1.0158
SciMark benchmark
927.3354