DEVELOPMENT... OpenML
Run
33530

Run 33530

Task 3705 (Supervised Classification) autoHorse 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
0.9967
Per class
Build CPU time
0.7807
Build memory
384474931.5122
F measure
0.9656
Per class
Kappa
0.9282
KB relative information score
175.2315
Mean absolute error
0.0795
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9677
Per class
Predictive accuracy
0.9659
Prior entropy
0.9742
Recall
0.9659
Per class
Relative absolute error
0.165
Root mean prior squared error
0.4909
Root mean squared error
0.1622
Root relative squared error
0.3304
SciMark benchmark
944.5151