Cross validation file |
File for storing cross validation results
It stores the results of cross validation. The format of the file is independent of the type of learning machine.
The file includes the following information:
- Number of folders
- For each fold: number of errors and error rate
- Overall confusion matrix
- Total number of iterations, errors and error rate
The suffix of the file is .cv.
Example:
This is simple example of a results file for a 3-fold cross validation.Folds number: 3 Fold n. 1 Iterations: 1813 Errors: 36 18.00% Fold n. 2 Iterations: 1946 Errors: 43 21.50% Fold n. 3 Iterations: 1833 Errors: 54 27.00% Confusion matrix : 64 0 0 0 0 0 4 42 0 0 0 0 0 18 69 0 6 1 0 40 1 100 0 0 0 0 30 0 93 0 32 0 0 0 1 99 Totals: Iterations: 5592 Errors: 133 Error rate % : 22.17 St.dev: 3.70
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