rsmp_pre: Resample precision
In NaiaraLopezRojo/globalIRmap: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Details
Value
Description
Compute the precision (proportion of stations classified as non-perennial that are actually IRES)
from a single ResampleResult extracted from an mlr3
BenchmarkResult.
This is a utility function.
Usage
1
rsmp_pre(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
Precision is computed as the number of true positives (i.e. the
number of items correctly labelled as belonging to the positive class) divided
by the total number of elements labelled as belonging to the positive class.
Wikipedia
actually has a nice explanation for it.
Value
(numeric) precision
NaiaraLopezRojo/globalIRmap documentation built on Dec. 17, 2021, 5:19 a.m.
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Description Usage Arguments Details Value
Description
Compute the precision (proportion of stations classified as non-perennial that are actually IRES)
from a single ResampleResult extracted from an mlr3
BenchmarkResult.
This is a utility function.
Usage
1 | rsmp_pre(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
Precision is computed as the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class. Wikipedia actually has a nice explanation for it.
Value
(numeric) precision
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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