rsmp_sen: Resample sensitivity
In messamat/globalIRmap: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Details
Value
Description
Compute the sensitivity (proportion of correctly classified non-perennial stations)
from a single ResampleResult extracted from an mlr3
BenchmarkResult.
This is a utility function.
Usage
1
rsmp_sen(bmres, rsmp_i, threshold_class)
Arguments
bmres
BenchmarkResult from either a binary classification
model or a regression model bounded between 0 and 1.
rsmp_i
(integer) index of the resample result to process.
Details
Sensitivity is also sometimes called recall. It measures the proportion o
of positives that are correctly identified. Wikipedia
actually has a nice explanation for it.
Value
(numeric) sensitivity
messamat/globalIRmap documentation built on July 4, 2021, 10:48 a.m.
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Description Usage Arguments Details Value
Description
Compute the sensitivity (proportion of correctly classified non-perennial stations)
from a single ResampleResult extracted from an mlr3
BenchmarkResult.
This is a utility function.
Usage
1 | rsmp_sen(bmres, rsmp_i, threshold_class)
|
Arguments
bmres |
BenchmarkResult from either a binary classification model or a regression model bounded between 0 and 1. |
rsmp_i |
(integer) index of the resample result to process. |
Details
Sensitivity is also sometimes called recall. It measures the proportion o of positives that are correctly identified. Wikipedia actually has a nice explanation for it.
Value
(numeric) sensitivity
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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