accuracy.meas: Calculate classification accuracy statistics.
In bensoltoff/rnflstats: Playing around with NFL stats and win-probability models
Description
Usage
Arguments
Value
Description
Calculate classification accuracy statistics.
Usage
1
accuracy.meas(response, predicted, threshold = 0.5)
Arguments
response
Vector of actual wins.
predicted
Vector of predicted win probabilities.
threshold
Probability level that determines whether the
prediction is a win or a loss.
Value
Object of class accuracy.meas containing precision,
recall, and F-score statistics.
bensoltoff/rnflstats documentation built on May 12, 2019, 2:08 p.m.
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Description Usage Arguments Value
Description
Calculate classification accuracy statistics.
Usage
1 | accuracy.meas(response, predicted, threshold = 0.5)
|
Arguments
response |
Vector of actual wins. |
predicted |
Vector of predicted win probabilities. |
threshold |
Probability level that determines whether the prediction is a win or a loss. |
Value
Object of class accuracy.meas containing precision,
recall, and F-score statistics.
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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