Procter & Gamble is working on improving their customer segmentation model. They have a dataset with a categorical variable representing different product categories. To

enhance the interpretability and accuracy of their model, why is it important for Procter & Gamble's data scientists to collaborate with domain experts?

Data scientists need help understanding how to apply machine learning algorithms.

Domain experts can offer insights into the nuances of product categories.

Domain experts can provide technical skills for coding.

Collaboration helps to reduce the size of the dataset.