Part A: Logistic Regression (Bank Dataset) 1. Load the "bank-full.csv" dataset and create a logistic regression model to predict term deposit subscription. 2. Evaluate the model using accuracy, precision, recall, and F1-score. 3. Create two regularized logistic regression models for predicting the target variable using the evaluation setting that you have used in 1. and report the performance. 4. Use KNN as a baseline model and compare its performance with logistic regression. Consider the following aspects: number of trainable parameters, training time and model performance. Explain why KNN is worse/better than logistic regression