Run
260206

Run 260206

Task 1915 (Supervised Classification) dermatology Uploaded 05-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.JRip(4)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(4)_F3
weka.JRip(4)_N2.0
weka.JRip(4)_O2
weka.JRip(4)_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

0.9603
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.883
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8525
Cross-validation details (10 times 10-fold Crossvalidation)
3050.7808
Cross-validation details (10 times 10-fold Crossvalidation)
0.0496
Cross-validation details (10 times 10-fold Crossvalidation)
0.2664
Cross-validation details (10 times 10-fold Crossvalidation)
3660
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.8841
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8822
Cross-validation details (10 times 10-fold Crossvalidation)
2.4378
Cross-validation details (10 times 10-fold Crossvalidation)
0.8822
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.186
Cross-validation details (10 times 10-fold Crossvalidation)
0.3649
Cross-validation details (10 times 10-fold Crossvalidation)
0.186
Cross-validation details (10 times 10-fold Crossvalidation)
0.5097
Cross-validation details (10 times 10-fold Crossvalidation)
1371.9645
30
Cross-validation details (10 times 10-fold Crossvalidation)
30
Cross-validation details (10 times 10-fold Crossvalidation)