Run
394256

Run 394256

Task 1799 (Supervised Classification) dermatology Uploaded 10-04-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.A1DE(4)G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
weka.A1DE(4)_F1
weka.A1DE(4)_M1.0

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

0.9993
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9793
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.974
Cross-validation details (5 times 2-fold Crossvalidation)
1773.4513
Cross-validation details (5 times 2-fold Crossvalidation)
0.0104
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)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.9805
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9792
Cross-validation details (5 times 2-fold Crossvalidation)
2.4378
Cross-validation details (5 times 2-fold Crossvalidation)
0.9792
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.0391
Cross-validation details (5 times 2-fold Crossvalidation)
0.3649
Cross-validation details (5 times 2-fold Crossvalidation)
0.0749
Cross-validation details (5 times 2-fold Crossvalidation)
0.2053
Cross-validation details (5 times 2-fold Crossvalidation)
945.0194
20
Cross-validation details (5 times 2-fold Crossvalidation)
10
Cross-validation details (5 times 2-fold Crossvalidation)
10
Cross-validation details (5 times 2-fold Crossvalidation)