PCC: Computes p-value of accuracy of a classifer according to the...
In ailich/mytools: Stuff
PCC R Documentation
Computes p-value of accuracy of a classifer according to the Proportional Chance Criterion
Description
Computes p-value of accuracy of a classifer according to the Proportional Chance Criterion based on a specified number of iterations.
Usage
PCC(my_data, acc, iter)
Arguments
my_data
a vector or one column dataframe/tibble
acc
Accuracy of classifier
iter
Number of iterations to run
ailich/mytools documentation built on Jan. 7, 2023, 11:16 a.m.
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| PCC | R Documentation |
Computes p-value of accuracy of a classifer according to the Proportional Chance Criterion
Description
Computes p-value of accuracy of a classifer according to the Proportional Chance Criterion based on a specified number of iterations.
Usage
PCC(my_data, acc, iter)
Arguments
my_data |
a vector or one column dataframe/tibble |
acc |
Accuracy of classifier |
iter |
Number of iterations to run |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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