Compressive Strength of Saw Dust Ash

Train, Test, and Check Predictions

This part of the workflow reads the dataset, splits it into training and test data, then uses the trained regression model to predict the target values for the unseen test rows. It then evaluates how close the predictions are to the real values with numeric error metrics and shows a scatter plot so you can visually compare actual vs. predicted values and quickly judge model quality.