DEVELOPMENT... OpenML
Run
32809

Run 32809

Task 237 (Supervised Classification) audiology 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
0.9106
Per class
Build CPU time
0.553
Build memory
1412935272
F measure
0.6759
Per class
Kappa
0.6912
KB relative information score
48.1824
Mean absolute error
0.0299
Mean prior absolute error
0.0736
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6445
Per class
Predictive accuracy
0.7297
Prior entropy
3.6349
Recall
0.7297
Per class
Relative absolute error
0.4056
Root mean prior squared error
0.1925
Root mean squared error
0.1344
Root relative squared error
0.6979
SciMark benchmark
943.651