DEVELOPMENT... OpenML
Run
34319

Run 34319

Task 3612 (Supervised Classification) fri_c1_250_25 Uploaded 19-10-2014 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
0.9403
Per class
Build CPU time
1.3459
Build memory
128246079.2
F measure
0.8754
Per class
Kappa
0.7446
KB relative information score
148.0235
Mean absolute error
0.2184
Mean prior absolute error
0.4897
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8762
Per class
Predictive accuracy
0.876
Prior entropy
0.9852
Recall
0.876
Per class
Relative absolute error
0.4459
Root mean prior squared error
0.4948
Root mean squared error
0.3045
Root relative squared error
0.6155
SciMark benchmark
925.7926