DEVELOPMENT... OpenML
Run
34975

Run 34975

Task 1931 (Supervised Classification) trains 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
0.5648
Per class
Build CPU time
0.0161
Build memory
1386809216.4
F measure
0.5998
Per class
Kappa
0.2
KB relative information score
3.5454
Mean absolute error
0.4897
Mean prior absolute error
0.5
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6002
Per class
Predictive accuracy
0.6
Prior entropy
1
Recall
0.6
Per class
Relative absolute error
0.9793
Root mean prior squared error
0.5
Root mean squared error
0.5215
Root relative squared error
1.0429
SciMark benchmark
827.1871