SoftSight Model

This directory contains the machine learning model used for the SoftSight project.

Contents:

• code.ipynb: Jupyter notebook for model development and training.
• data.csv: Sample data used for training and evaluation.
• model.pkl: The trained machine learning model.
• onehot_encoder.pkl: One-hot encoder used for preprocessing categorical features.
• Figure_5_1_Predicted_vs_Actual.png: Plot showing predicted vs. actual values.
• Figure_5_2_Residual_Plot.png: Residual plot for model analysis.