DEVELOPMENT... OpenML
Run
33927

Run 33927

Task 3808 (Supervised Classification) kidney Uploaded 16-10-2014 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
0.8542
Per class
Build CPU time
0.2434
Build memory
263615100.9474
F measure
0.789
Per class
Kappa
0.5766
KB relative information score
30.0524
Mean absolute error
0.3175
Mean prior absolute error
0.4987
Number of instances
76
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7897
Per class
Predictive accuracy
0.7895
Prior entropy
0.9981
Recall
0.7895
Per class
Relative absolute error
0.6367
Root mean prior squared error
0.4993
Root mean squared error
0.3916
Root relative squared error
0.7842
SciMark benchmark
814.4213