# Modelization parameters

![Modelization Parameters.png](HXyPFmopmiRg)

- Model optimization strategy: Choose if you want to optimize on Precision, Recall, or F1 Score for the modeling

- Categorical_metadata: select which columns of the dataset are categorical (need to update the flow before if the dataset schema has been modified)
- Numerical_metadata: select which columns of the dataset are numerical (need to update the flow before if the dataset schema has been modified)


- Number CLV group: Number of clusters used for the clustering method; more clusters will offer a more precise clustering but reduce the prediction performances.

- Clustering method: Quantiles of Kmeans see [Clustering](article:3)

- Lifetime parameters:
   - Lifetime Activated: you can choose to deactivate the lifetime model
   - Discount Rate: as defined in [here](https://en.wikipedia.org/wiki/Discounted_cash_flow)

- Number of records in train/test: number of rows selected at random it the potential training data; to adapt depending on performances

- Train/Test ratio:  Ratio of train data used for modeling in ]0,1[
 
