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These take bootstrap resampling and use more sophisticated estimates to estimate and correct for bias. I have a prototype implementation used in aml4td in the 632-estimate branch.
Notes:
It does an internal permutation calculation to get the no-information rate. Right now I do 50 shuffles.
It would require that apparent = TRUE is used when making the rset.
There are some API decisions to make for the points above. Do we parameterize the number of shuffles, etc.
The text was updated successfully, but these errors were encountered:
These take bootstrap resampling and use more sophisticated estimates to estimate and correct for bias. I have a prototype implementation used in aml4td in the
632-estimate
branch.Notes:
apparent = TRUE
is used when making the rset.The text was updated successfully, but these errors were encountered: