Run
287453

Run 287453

Task 1799 (Supervised Classification) dermatology Uploaded 13-03-2015 by Joaquin Vanschoren
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Flow

weka.BFTree(3)Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of statistics. 28(2):337-407.
weka.BFTree(3)_PPOSTPRUNED
weka.BFTree(3)_M2
weka.BFTree(3)_N5
weka.BFTree(3)_Ctrue
weka.BFTree(3)_S1

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.

22 Evaluation measures

0.9719
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.947
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.933
Cross-validation details (5 times 2-fold Crossvalidation)
1689.7917
Cross-validation details (5 times 2-fold Crossvalidation)
0.0232
Cross-validation details (5 times 2-fold Crossvalidation)
0.2664
Cross-validation details (5 times 2-fold Crossvalidation)
1830
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.9486
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9464
Cross-validation details (5 times 2-fold Crossvalidation)
2.4378
Cross-validation details (5 times 2-fold Crossvalidation)
0.9464
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.0871
Cross-validation details (5 times 2-fold Crossvalidation)
0.3649
Cross-validation details (5 times 2-fold Crossvalidation)
0.1322
Cross-validation details (5 times 2-fold Crossvalidation)
0.3623
Cross-validation details (5 times 2-fold Crossvalidation)
1327.2954
180
Cross-validation details (5 times 2-fold Crossvalidation)
180
Cross-validation details (5 times 2-fold Crossvalidation)