Run
458337

Run 458337

Task 1778 (Supervised Classification) mfeat-fourier Uploaded 02-07-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

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

0.8867
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.6487
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.6096
Cross-validation details (5 times 2-fold Crossvalidation)
6128.1819
Cross-validation details (5 times 2-fold Crossvalidation)
0.0821
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]
0.6498
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.6486
Cross-validation details (5 times 2-fold Crossvalidation)
3.3219
Cross-validation details (5 times 2-fold Crossvalidation)
0.6486
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.4564
Cross-validation details (5 times 2-fold Crossvalidation)
0.3
Cross-validation details (5 times 2-fold Crossvalidation)
0.2323
Cross-validation details (5 times 2-fold Crossvalidation)
0.7744
Cross-validation details (5 times 2-fold Crossvalidation)
938.5498
174590
Cross-validation details (5 times 2-fold Crossvalidation)
540
Cross-validation details (5 times 2-fold Crossvalidation)
174050
Cross-validation details (5 times 2-fold Crossvalidation)