DEVELOPMENT... OpenML
Run
35040

Run 35040

Task 2939 (Supervised Classification) satimage Uploaded 22-10-2014 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)_I80
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
0.9906
Per class
Build CPU time
829.5509
Build memory
1971452021.44
F measure
0.9031
Per class
Kappa
0.8832
KB relative information score
54994.0061
Mean absolute error
0.0546
Mean prior absolute error
0.2701
Number of instances
64300
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9029
Per class
Predictive accuracy
0.9057
Prior entropy
2.4836
Recall
0.9057
Per class
Relative absolute error
0.2021
Root mean prior squared error
0.3675
Root mean squared error
0.1514
Root relative squared error
0.4119
SciMark benchmark
807.8714