Description Usage Arguments Value Author(s)
Perform n-fold cross-validation to generate a perf object.
1 2 3 4 | nfold.xval(measurements, annotation = "", fold = 10, plot.ROC = T,
color.plot = T)
|
measurements |
A set of selection table rows with Call_vs_Noise column filled in, and with features as generated by generate.seewave.measures() |
annotation |
An optional annotation for the plots. |
fold |
n, i.e. how many rounds of cross-validation to perform. |
plot.ROC |
Whether or not to plot the ROC curve pertaining to the cross-validation run. |
color.plot |
Whether or not the plot should be in color. |
A list with elements
perf |
a perf object |
difficulty |
a vector signifying how frequently the row in question is incorrectly identified in cross-validation |
Jesse C. Ross
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