DEVELOPMENT... OpenML
Run
79626

Run 79626

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

weka.Bagging_RandomTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomTree(2)_I40
weka.Bagging_RandomTree(2)_P100
weka.Bagging_RandomTree(2)_S1
weka.Bagging_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.Bagging_RandomTree(2)_num-slots1
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.9987
Per class
Build CPU time
0.0259
Build memory
1345204128.306
F measure
0.9669
Per class
Kappa
0.9589
KB relative information score
322.4818
Mean absolute error
0.0517
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
0.9673
Per class
Predictive accuracy
0.9672
Prior entropy
2.4378
Recall
0.9672
Per class
Relative absolute error
0.194
Root mean prior squared error
0.3649
Root mean squared error
0.1172
Root relative squared error
0.3212
SciMark benchmark
941.0866