DEVELOPMENT... OpenML
Run
28332

Run 28332

Task 3044 (Supervised Classification) hypothyroid Uploaded 09-10-2014 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)_I20
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
0.9949
Per class
Build CPU time
0.421
Build memory
1384169992
F measure
0.9948
Per class
Kappa
0.9675
KB relative information score
1161.0237
Mean absolute error
0.0047
Mean prior absolute error
0.0736
Number of instances
1244
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9944
Per class
Predictive accuracy
0.9952
Prior entropy
0.4715
Recall
0.9952
Per class
Relative absolute error
0.0636
Root mean prior squared error
0.1923
Root mean squared error
0.0401
Root relative squared error
0.2084
SciMark benchmark
895.532