DEVELOPMENT... OpenML
Run
33825

Run 33825

Task 4295 (Supervised Classification) analcatdata_vineyard Uploaded 16-10-2014 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
0.9347
Per class
Build CPU time
2.4348
Build memory
3015254504.9915
F measure
0.8573
Per class
Kappa
0.7104
KB relative information score
2912.532
Mean absolute error
0.1975
Mean prior absolute error
0.4939
Number of instances
4680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8582
Per class
Predictive accuracy
0.8579
Prior entropy
0.9912
Recall
0.8579
Per class
Relative absolute error
0.4
Root mean prior squared error
0.4969
Root mean squared error
0.3194
Root relative squared error
0.6427
SciMark benchmark
940.2282