DEVELOPMENT... OpenML
Run
33527

Run 33527

Task 3704 (Supervised Classification) kdd_el_nino-small Uploaded 15-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I160
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
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
0.9892
Per class
Build CPU time
5.3994
Build memory
740674395.4476
F measure
0.937
Per class
Kappa
0.8611
KB relative information score
627.0643
Mean absolute error
0.0957
Mean prior absolute error
0.4553
Number of instances
782
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9371
Per class
Predictive accuracy
0.9373
Prior entropy
0.9348
Recall
0.9373
Per class
Relative absolute error
0.2102
Root mean prior squared error
0.4771
Root mean squared error
0.204
Root relative squared error
0.4275
SciMark benchmark
940.6146