DEVELOPMENT... OpenML
Run
32702

Run 32702

Task 3808 (Supervised Classification) kidney Uploaded 13-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I160
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.8375
Per class
Build CPU time
0.0649
Build memory
179190060.5263
F measure
0.7105
Per class
Kappa
0.4194
KB relative information score
29.3421
Mean absolute error
0.3137
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
0.7105
Per class
Predictive accuracy
0.7105
Prior entropy
0.9981
Recall
0.7105
Per class
Relative absolute error
0.6292
Root mean prior squared error
0.4993
Root mean squared error
0.4146
Root relative squared error
0.8304
SciMark benchmark
943.7681