DEVELOPMENT... OpenML
Run
29391

Run 29391

Task 1915 (Supervised Classification) dermatology Uploaded 11-10-2014 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)_I40
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
0.9951
Per class
Build CPU time
0.0727
Build memory
181168588.0284
F measure
0.9674
Per class
Kappa
0.9593
KB relative information score
3412.2227
Mean absolute error
0.0268
Mean prior absolute error
0.2664
Number of instances
3660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9674
Per class
Predictive accuracy
0.9675
Prior entropy
2.4378
Recall
0.9675
Per class
Relative absolute error
0.1005
Root mean prior squared error
0.3649
Root mean squared error
0.1
Root relative squared error
0.2741
SciMark benchmark
941.4039