The objective of this flow zone is to compute the expected conversion rate and the ultimate lead value. 

![Screenshot 2024-01-16 at 10.11.43.png](BRaLRI7Fie8c)

The [window recipe](recipe:compute_test_set_evaluation_decile) assigns each row to a decile based on the conversion model score ranking, with each decile representing 10% of the test set leads. Subsequently, the [group by recipe](recipe:compute_test_set_evaluation_decile_by_ntile10) organizes the data by decile, calculating the average conversion rate for each group. The [prepare recipe](recipe:compute_test_set_evaluation_decile_by_ntile10_prepared) is exclusively employed for visualization and formatting purposes.

The [join recipe](recipe:compute_lead_information_scored_joined) facilitates the merging of both predictions into a unified dataset. Additionally, the [prepare recipe](recipe:compute_lead_value) creates the lead_value column by multiplying the expected conversion rate by the expected customer value, using the buckets intervals computed in the aforementioned recipes. 












