calculate_sss: Calculate sensitivity + specificity statistic for a given set...
In johnchower/gloobtyd: Buy 'till you die analysis
Description
Usage
Arguments
Value
Description
Calculate sensitivity + specificity statistic for a given set of comparison
data, at a given prediction probability threshold.
Usage
1
calculate_sss(threshold = 0.5, comparisonData)
Arguments
threshold
A number between 0 and 1. Any user whose estimated return
probability exceeds this threshold is predicted to return next week.
comparisonData
A data.frame of the form (user_id,
return_probability, showed_up). return_probability is the users' estimated
return probability, and showed_up is an indicator of whether they actually
showed up (1 = they showed up)
Value
A number between -1 and 1 representing sensitivity + specificity
- 1. Higher numbers represent accurate forecasts
johnchower/gloobtyd documentation built on May 19, 2019, 3:03 p.m.
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Description Usage Arguments Value
Description
Calculate sensitivity + specificity statistic for a given set of comparison data, at a given prediction probability threshold.
Usage
1 | calculate_sss(threshold = 0.5, comparisonData)
|
Arguments
threshold |
A number between 0 and 1. Any user whose estimated return probability exceeds this threshold is predicted to return next week. |
comparisonData |
A data.frame of the form (user_id, return_probability, showed_up). return_probability is the users' estimated return probability, and showed_up is an indicator of whether they actually showed up (1 = they showed up) |
Value
A number between -1 and 1 representing sensitivity + specificity - 1. Higher numbers represent accurate forecasts
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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