DEVELOPMENT... OpenML
Run
114710

Run 114710

Task 3890 (Supervised Classification) ada_prior 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
0.8734
Per class
Build CPU time
3.6235
Build memory
838108240.505
F measure
0.8199
Per class
Kappa
0.5068
KB relative information score
1852.0493
Mean absolute error
0.2068
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8177
Per class
Predictive accuracy
0.8244
Prior entropy
0.8085
Recall
0.8244
Per class
Relative absolute error
0.5542
Root mean prior squared error
0.4319
Root mean squared error
0.353
Root relative squared error
0.8171
SciMark benchmark
923.9118

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