Add explanation of the first step of the model development process

README.md

@@ -70,4 +70,6 @@ This project is licensed under the MIT license - see the LICENSE file for detail
 - Thanks to Kaggle(https://www.kaggle.com/competitions/home-credit-default-risk/overview) for providing the dataset.
 - A special thanks to Morgan Gautherot (https://www.linkedin.com/in/morgan-gautherot-phd-05a227108/) for his great help on this project.
 
-## Model Development Process
+## Model Development Process
+
+In this phase of the project, we implemented a simple Random Forest model. The primary dataset used was the `application_train` table, focusing on encoding non-numerical values to fit the model requirements. This approach yielded a promising precision rate of around 92%, marking a solid start for our predictive modeling. The aim was to establish a baseline performance, using a well-known and reliable machine learning algorithm. This initial step serves as a foundation for more complex model development and optimization in the future.