According to the version assigned to you, train and compare $5$ machine learning models for the specific application using the Matlab Classification Learner App or Python. Ensure to export the model with the highest accuracy.

The following mark distribution will be followed, hence, make sure to include these in your report and code:

$1.$ Introduction $(3$ points$)$

$2.$ Database Loading, Pre$-$processing, and Train$-$test split $(3$ points$)$

$3.$ Training process Screenshot and Training Results $(3$ points$)$

$4.$ Testing, Confusion Matrix, accuracy, and saved model $(3$ points$)$

$5.$ Explanations for each step $(6$ points$)$

$6.$ Conclusion $(2$ points$)$