Fixes: #334

Summary

This pull request addresses a bug in the Streamlit app for job satisfaction prediction where evaluation metrics (accuracy, classification report, confusion matrix, ROC curve) were incorrectly displayed based on a single input prediction rather than using actual test data. The evaluation metrics have been removed to ensure accurate and relevant predictions are presented to the user.

Changes Made

1. Removed Evaluation Metrics: The accuracy score, classification report, confusion matrix, and ROC curve calculations and displays have been removed from the Streamlit app. These evaluations should be part of the model development and validation process, not the user-facing prediction application.
2. Label Encoding: Added label encoding for the user inputs to match what the model expects. This ensures that the input data is correctly formatted for the prediction model.