DEVELOPMENT... OpenML
Run
115178

Run 115178

Task 3798 (Supervised Classification) fri_c1_250_10 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
0.9486
Per class
Build CPU time
0.3204
Build memory
1185648569.6
F measure
0.908
Per class
Kappa
0.8135
KB relative information score
200.8596
Mean absolute error
0.0971
Mean prior absolute error
0.4929
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9081
Per class
Predictive accuracy
0.908
Prior entropy
0.9898
Recall
0.908
Per class
Relative absolute error
0.1971
Root mean prior squared error
0.4964
Root mean squared error
0.2919
Root relative squared error
0.5881
SciMark benchmark
913.3372