DEVELOPMENT... OpenML
Run
33558

Run 33558

Task 2943 (Supervised Classification) braziltourism Uploaded 15-10-2014 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
0.6823
Per class
Build CPU time
3.4573
Build memory
1631986604.9553
F measure
0.6793
Per class
Kappa
0.0363
KB relative information score
470.5418
Mean absolute error
0.0973
Mean prior absolute error
0.1103
Number of instances
4120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6475
Per class
Predictive accuracy
0.765
Prior entropy
1.1781
Recall
0.765
Per class
Relative absolute error
0.8816
Root mean prior squared error
0.2325
Root mean squared error
0.2257
Root relative squared error
0.9708
SciMark benchmark
941.9044