The Customer Value Prediction zone is where the prediction of the expected customer value is computed. More complete details about this model are available [here](saved_model:5wvrcbKi).

![Screenshot 2024-01-04 at 11.36.47.png](GFy3w6wA37G2)

The [regression model](saved_model:5wvrcbKi) first orders the training dataset by the lead creation date column. The model is then trained on the first 80% of the data points in the [customers_value](dataset:customers_value) and tested on the remaining 20%. 

The [score recipe](recipe:score_lead_information_score_data_prepared_1) is used to apply the regression model to the dataset containing the values to predict ([lead_information_score_data_prepared](dataset:lead_information_score_data_prepared)) and generate the predicted values. 
