DEVELOPMENT... OpenML
Run
71019

Run 71019

Task 35 (Supervised Classification) dermatology Uploaded 01-12-2014 by Felicia West
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Flow

weka.Bagging_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I40
weka.Bagging_OneR(2)_P100
weka.Bagging_OneR(2)_S1
weka.Bagging_OneR(2)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(2)_num-slots1
weka.OneR(3)_B6

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
0.8481
Per class
Build CPU time
0.0102
Build memory
360943021.3552
F measure
0.3751
Per class
Kappa
0.3444
KB relative information score
131.5114
Mean absolute error
0.1816
Mean prior absolute error
0.2664
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
0.3489
Per class
Predictive accuracy
0.5082
Prior entropy
2.4378
Recall
0.5082
Per class
Relative absolute error
0.6817
Root mean prior squared error
0.3649
Root mean squared error
0.3282
Root relative squared error
0.8996
SciMark benchmark
938.3567