Run
302282

Run 302282

Task 1784 (Supervised Classification) mfeat-pixel Uploaded 18-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.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

0.9905
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9696
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9662
Cross-validation details (5 times 2-fold Crossvalidation)
9689.0597
Cross-validation details (5 times 2-fold Crossvalidation)
0.0061
Cross-validation details (5 times 2-fold Crossvalidation)
0.18
Cross-validation details (5 times 2-fold Crossvalidation)
10000
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]
0.9698
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9696
Cross-validation details (5 times 2-fold Crossvalidation)
3.3219
Cross-validation details (5 times 2-fold Crossvalidation)
0.9696
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.0339
Cross-validation details (5 times 2-fold Crossvalidation)
0.3
Cross-validation details (5 times 2-fold Crossvalidation)
0.0759
Cross-validation details (5 times 2-fold Crossvalidation)
0.2531
Cross-validation details (5 times 2-fold Crossvalidation)
933.1165
9550
Cross-validation details (5 times 2-fold Crossvalidation)
8270
Cross-validation details (5 times 2-fold Crossvalidation)
1280
Cross-validation details (5 times 2-fold Crossvalidation)