Task $1-$ Supervised Machine Learning Model $(8$ points$)$

You are tasked to apply a supervised ML method of your choice $($Random Forest, XGBoost, Decision Tree, Support Vector Machine, Logistic Regression, etc.$)$ to detect if there have been attacks in the vehicle or not for each of the three datasets.

Combine the three datasets into one large dataset.

Split the datasets into two sets: $3/4$ as the training dataset and $1/4$ as the testing dataset.

Train your choice of ML model on the training dataset.

Evaluate your model by testing it using the test data set. Create a confusion matrix that summarizes your results.

Report the results of your model and your analysis of its performance.