DEVELOPMENT... OpenML
Run
33302

Run 33302

Task 4409 (Supervised Classification) kdd_el_nino-small Uploaded 14-10-2014 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
0.9884
Per class
Build CPU time
5.6599
Build memory
94277396.3519
F measure
0.9393
Per class
Kappa
0.8662
KB relative information score
6255.7922
Mean absolute error
0.0968
Mean prior absolute error
0.4553
Number of instances
7820
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9393
Per class
Predictive accuracy
0.9395
Prior entropy
0.9348
Recall
0.9395
Per class
Relative absolute error
0.2126
Root mean prior squared error
0.4771
Root mean squared error
0.2052
Root relative squared error
0.4302
SciMark benchmark
932.4605