sits_accuracy: Evaluates the accuracy of classification
In luizassis/sits: Satellite Image Time Series Analysis
Description
Usage
Arguments
Value
Author(s)
Description
Evaluates the accuracy of classification stored in two vectors.
Returns a confusion matrix used by the "caret" package
Usage
1
sits_accuracy(conf.tb, conv.lst = NULL, pred_sans_ext = FALSE)
Arguments
conf.tb
A tibble containing pairs of reference and predicted values
conv.lst
A list conversion list of labels. If NULL no conversion is done.
pred_sans_ext
(Boolean) remove all label extension (i.e. every string after last '.' character) from predictors before compute assesment.
Value
caret_assess a confusion matrix assessment produced by the caret package
Author(s)
Rolf Simoes, rolf.simoes@inpe.br
luizassis/sits documentation built on May 30, 2019, 7:15 p.m.
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Description Usage Arguments Value Author(s)
Description
Evaluates the accuracy of classification stored in two vectors. Returns a confusion matrix used by the "caret" package
Usage
1 | sits_accuracy(conf.tb, conv.lst = NULL, pred_sans_ext = FALSE)
|
Arguments
conf.tb |
A tibble containing pairs of reference and predicted values |
conv.lst |
A list conversion list of labels. If NULL no conversion is done. |
pred_sans_ext |
(Boolean) remove all label extension (i.e. every string after last '.' character) from predictors before compute assesment. |
Value
caret_assess a confusion matrix assessment produced by the caret package
Author(s)
Rolf Simoes, rolf.simoes@inpe.br
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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