DEVELOPMENT... OpenML
Run
35125

Run 35125

Task 3494 (Supervised Classification) monks-problems-3 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
0.9881
Per class
Build CPU time
0.5743
Build memory
1144943172.2888
F measure
0.9892
Per class
Kappa
0.9783
KB relative information score
524.1871
Mean absolute error
0.0319
Mean prior absolute error
0.4992
Number of instances
554
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9893
Per class
Predictive accuracy
0.9892
Prior entropy
0.9989
Recall
0.9892
Per class
Relative absolute error
0.0638
Root mean prior squared error
0.4996
Root mean squared error
0.1115
Root relative squared error
0.2231
SciMark benchmark
815.5228

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