Run
31570

Run 31570

Task 265 (Supervised Classification) dermatology Uploaded 13-10-2014 by Joaquin Vanschoren
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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

0.9969
Per class
Cross-validation details (33% Holdout set)
0.325
Cross-validation details (33% Holdout set)
149374392
Cross-validation details (33% Holdout set)
0.9747
Per class
Cross-validation details (33% Holdout set)
0.9684
Cross-validation details (33% Holdout set)
111.481
Cross-validation details (33% Holdout set)
0.023
Cross-validation details (33% Holdout set)
0.2653
Cross-validation details (33% Holdout set)
120
Per class
Cross-validation details (33% Holdout set)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.977
Per class
Cross-validation details (33% Holdout set)
0.975
Cross-validation details (33% Holdout set)
2.4378
Cross-validation details (33% Holdout set)
0.975
Per class
Cross-validation details (33% Holdout set)
0.0869
Cross-validation details (33% Holdout set)
0.3633
Cross-validation details (33% Holdout set)
0.0925
Cross-validation details (33% Holdout set)
0.2547
Cross-validation details (33% Holdout set)
925.1611