DEVELOPMENT... OpenML
Run
116121

Run 116121

Task 3660 (Supervised Classification) disclosure_x_tampered 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
0.4918
Per class
Build CPU time
0.0699
Build memory
1262322602.4169
F measure
0.483
Per class
Kappa
-0.0339
KB relative information score
-1.5482
Mean absolute error
0.5007
Mean prior absolute error
0.4999
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
0.4831
Per class
Predictive accuracy
0.4834
Prior entropy
0.9999
Recall
0.4834
Per class
Relative absolute error
1.0015
Root mean prior squared error
0.5
Root mean squared error
0.5139
Root relative squared error
1.0279
SciMark benchmark
945.5885