DEVELOPMENT... OpenML
Run
31800

Run 31800

Task 35 (Supervised Classification) dermatology 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
0.995
Per class
Build CPU time
0.3006
Build memory
744529286.2951
F measure
0.9808
Per class
Kappa
0.9761
KB relative information score
342.5302
Mean absolute error
0.0261
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
0.981
Per class
Predictive accuracy
0.9809
Prior entropy
2.4378
Recall
0.9809
Per class
Relative absolute error
0.0978
Root mean prior squared error
0.3649
Root mean squared error
0.0953
Root relative squared error
0.2612
SciMark benchmark
947.8623