calibration_plot: Produces a calibration plot for the win probability model.
In bensoltoff/rnflstats: Playing around with NFL stats and win-probability models
Description
Usage
Arguments
Value
Description
Splits the predictions into percentiles and calculates the percentage
of predictions per percentile that were wins. A perfectly calibrated model
means that plays with a win probability of n
Usage
1
calibration_plot(preds, truth, fg = FALSE)
Arguments
preds
Vector of predicted win probabilities.
truth
Vector of actual wins.
Value
ggplot2
bensoltoff/rnflstats documentation built on May 12, 2019, 2:08 p.m.
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Description Usage Arguments Value
Description
Splits the predictions into percentiles and calculates the percentage of predictions per percentile that were wins. A perfectly calibrated model means that plays with a win probability of n
Usage
1 | calibration_plot(preds, truth, fg = FALSE)
|
Arguments
preds |
Vector of predicted win probabilities. |
truth |
Vector of actual wins. |
Value
ggplot2
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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