DEVELOPMENT... OpenML
Run
35212

Run 35212

Task 4391 (Supervised Classification) house_16H Uploaded 23-10-2014 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
0.9411
Per class
Build CPU time
3497.3408
Build memory
2343443644.4678
F measure
0.8838
Per class
Kappa
0.715
KB relative information score
132238.9555
Mean absolute error
0.1852
Mean prior absolute error
0.4168
Number of instances
227840
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8864
Per class
Predictive accuracy
0.8872
Prior entropy
0.8764
Recall
0.8872
Per class
Relative absolute error
0.4444
Root mean prior squared error
0.4565
Root mean squared error
0.2882
Root relative squared error
0.6313
SciMark benchmark
928.2541