DEVELOPMENT... OpenML
Run
114242

Run 114242

Task 241 (Supervised Classification) balance-scale 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)_I20
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
0.9474
Per class
Build CPU time
0.21
Build memory
286405032
F measure
0.7916
Per class
Kappa
0.6611
KB relative information score
127.5993
Mean absolute error
0.1384
Mean prior absolute error
0.3857
Number of instances
206
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7805
Per class
Predictive accuracy
0.8058
Prior entropy
1.3212
Recall
0.8058
Per class
Relative absolute error
0.3587
Root mean prior squared error
0.4424
Root mean squared error
0.3161
Root relative squared error
0.7146
SciMark benchmark
923.9118