Description Usage Arguments Value Examples
Calculates ROI after sorting observations with ROI defined as (Current Value - Start Value) / Start Value
1 |
x |
A data frame containing predicted probabilities of a target event and the actual outcome/class. |
fixed_cost |
Fixed cost (e.g. of a campaign) |
var_cost |
Variable cost (e.g. discount offered) |
tp_val |
The average value of a True Positive |
prob_col |
The unquoted name of the column with probabilities of the event of interest. |
truth_col |
The unquoted name of the column with the actual outcome/class. Possible values are 'Yes' and 'No'. |
A data frame with the following columns:
row = row numbers
pct = percentiles
cum_rev = cumulated revenue
cost_sum = cumulated costs
roi = return on investment
1 2 3 4 5 6 | roi(predictions,
fixed_cost = 1000,
var_cost = 100,
tp_val = 2000,
prob_col = Yes,
truth_col = Churn)
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