Given the Spam data set for classifying an e$-$mail is either spam $($label $1)$ or not $($label $0).$ Compare three ML algorithms: logistic regression, decision tree, and random forest for this binary classification problem. Use the Databrick notebook.

Find the best model for each ML algorithm. Compute precision, recall, and F$1$ scores based on ALL data points. Identify the best ML algorithm based on the statistics computed