DEVELOPMENT... OpenML
Run
33284

Run 33284

Task 57 (Supervised Classification) ionosphere 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
0.9673
Per class
Build CPU time
4.2514
Build memory
28311701.5157
F measure
0.9165
Per class
Kappa
0.817
KB relative information score
258.767
Mean absolute error
0.1291
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9176
Per class
Predictive accuracy
0.9174
Prior entropy
0.9425
Recall
0.9174
Per class
Relative absolute error
0.2805
Root mean prior squared error
0.4797
Root mean squared error
0.2459
Root relative squared error
0.5126
SciMark benchmark
941.1698