# Model Prediction Visualization

This visualization compares the actual values (True KPI) against the predicted values (Predicted KPI) generated by a model. The plot displays two main lines: a grey line representing the true KPIs and a green line illustrating the predicted KPIs over a range of data points.

## Key Metrics:

- R² Score: 0.629 - This indicates how well the predicted values match the actual values, with 1 being a perfect fit.
- Mean Absolute Percentage Error (MAPE): 25.721% - This metric reflects the average error between the predicted and actual values, expressed as a percentage.

## Understanding the Plot:

The x-axis represents the data points, while the y-axis shows the KPI values. The shaded area around the true KPI line indicates the uncertainty of the predictions, with wider areas representing greater uncertainty.

This visualization is helpful for assessing the performance of the model, revealing its strengths and weaknesses in predicting KPI values.