Run
449878

Run 449878

Task 265 (Supervised Classification) dermatology Uploaded 19-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.LibSVM(2)Yasser EL-Manzalawy (2005). WLSVM. URL http://www.cs.iastate.edu/~yasser/wlsvm/. Chih-Chung Chang, Chih-Jen Lin (2001). LIBSVM - A Library for Support Vector Machines. URL http://www.csie.ntu.edu.tw/~cjlin/libsvm/.
weka.LibSVM(2)_S0
weka.LibSVM(2)_K2
weka.LibSVM(2)_D3
weka.LibSVM(2)_G0.0
weka.LibSVM(2)_R0.0
weka.LibSVM(2)_C1.0
weka.LibSVM(2)_N0.5
weka.LibSVM(2)_P0.1
weka.LibSVM(2)_M40.0
weka.LibSVM(2)_E0.001
weka.LibSVM(2)_model/Users/joa/Downloads/weka-3-7-12
weka.LibSVM(2)_seed1

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

0.8608
Per class
Cross-validation details (33% Holdout set)
0.7661
Per class
Cross-validation details (33% Holdout set)
0.7046
Cross-validation details (33% Holdout set)
84.582
Cross-validation details (33% Holdout set)
0.0778
Cross-validation details (33% Holdout set)
0.2653
Cross-validation details (33% Holdout set)
120
Per class
Cross-validation details (33% Holdout set)
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
0.7863
Per class
Cross-validation details (33% Holdout set)
0.7667
Cross-validation details (33% Holdout set)
2.4378
Cross-validation details (33% Holdout set)
0.7667
Per class
Cross-validation details (33% Holdout set)
0.2932
Cross-validation details (33% Holdout set)
0.3633
Cross-validation details (33% Holdout set)
0.2789
Cross-validation details (33% Holdout set)
0.7676
Cross-validation details (33% Holdout set)
730.6551
250
Cross-validation details (33% Holdout set)
110
Cross-validation details (33% Holdout set)
140
Cross-validation details (33% Holdout set)