DEVELOPMENT... OpenML
Run
32981

Run 32981

Task 3590 (Supervised Classification) analcatdata_vineyard 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
0.9323
Per class
Build CPU time
2.7401
Build memory
834639665.8291
F measure
0.8566
Per class
Kappa
0.7091
KB relative information score
292.2972
Mean absolute error
0.1966
Mean prior absolute error
0.4939
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8567
Per class
Predictive accuracy
0.8568
Prior entropy
0.9912
Recall
0.8568
Per class
Relative absolute error
0.3982
Root mean prior squared error
0.4969
Root mean squared error
0.3166
Root relative squared error
0.6371
SciMark benchmark
946.734