Home > Testing and Tuning Models > Testing Classification Models > Test Metrics for Classifica... > Profit
Profit uses user-supplied values for startup cost, incemental revenue, incremental cost, budget, and population to maximize the profit
Oracle Data Miner calculates profit as follows:
-1*startup_cost + (increment_revenue * Cumulative number of targets(N) - increment_cost * (Cumulative number of targets(N) + Cumulative number of nontargets(N))) * population / total_count
Profit can be positive or negative, that is, it can be a loss.
To view the profit predicted by this model, select the Target Value that you are interested in. You can change the Selected Population%; the default is 1%. To specify settings for the profit calculation, see Profit Setting Dialog.