mattcc.curve: Create Matthews Correlation Coefficient Data for Plotting
In PriceLab/FPML: Footprint Machine Learning
Description
Usage
Arguments
Value
Description
Using the formula for Matthews Correlation Coefficient and a given number of points ranging
from 0 to 100, create data for MCC over a set of thresholds between 0 and 1. These data can then
be used to plot MCC curves
Usage
1
mattcc.curve(true.values, pred.probs, num.points = 101)
Arguments
true.values
The true classifications for the data
pred.probs
The predicted probabilities for the data
num.points
The number of different thresholds to set between 0 and 1 (default = 101)
Value
A numeric vector of MCC values over the supplied number of points
PriceLab/FPML documentation built on May 28, 2019, 2:25 p.m.
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Description Usage Arguments Value
Description
Using the formula for Matthews Correlation Coefficient and a given number of points ranging from 0 to 100, create data for MCC over a set of thresholds between 0 and 1. These data can then be used to plot MCC curves
Usage
1 | mattcc.curve(true.values, pred.probs, num.points = 101)
|
Arguments
true.values |
The true classifications for the data |
pred.probs |
The predicted probabilities for the data |
num.points |
The number of different thresholds to set between 0 and 1 (default = 101) |
Value
A numeric vector of MCC values over the supplied number of points
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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