fBeta: calculate mutual information from probabilities - see...
In terminological/tidy-info-stats: Functions for manipulating information statistics
View source: R/vectorisedCalculations.R
fBeta R Documentation
calculate mutual information from probabilities - see calculateConfusionMatrixStats to generate these probabilities from count information
Description
in the terminology here x is prediction and y is outcome / gold standard
Usage
fBeta(p_x1y1, p_x0y1, p_x1y0, beta = 1)
Arguments
p_x1y1
probability of cooccurrence of x and y - true positives.
p_x0y1
probability of occurrence of y without x - false positives
p_x1y0
probability of occurrence of x without y - false negatives
betathe
beta coefficient for the f score
Value
the fBeta score
terminological/tidy-info-stats documentation built on Nov. 19, 2022, 11:23 p.m.
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View source: R/vectorisedCalculations.R
| fBeta | R Documentation |
calculate mutual information from probabilities - see calculateConfusionMatrixStats to generate these probabilities from count information
Description
in the terminology here x is prediction and y is outcome / gold standard
Usage
fBeta(p_x1y1, p_x0y1, p_x1y0, beta = 1)
Arguments
p_x1y1 |
probability of cooccurrence of x and y - true positives. |
p_x0y1 |
probability of occurrence of y without x - false positives |
p_x1y0 |
probability of occurrence of x without y - false negatives |
betathe |
beta coefficient for the f score |
Value
the fBeta score
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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