DEVELOPMENT... OpenML
Run
27102

Run 27102

Task 3873 (Supervised Classification) dermatology Uploaded 08-10-2014 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
0.9992
Per class
Build CPU time
0.0125
Build memory
96030147.235
F measure
0.9864
Per class
Kappa
0.9682
KB relative information score
347.0455
Mean absolute error
0.0218
Mean prior absolute error
0.4251
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9869
Per class
Predictive accuracy
0.9863
Prior entropy
0.8898
Recall
0.9863
Per class
Relative absolute error
0.0514
Root mean prior squared error
0.4608
Root mean squared error
0.1005
Root relative squared error
0.218
SciMark benchmark
936.4528