b$.$ Build model using Logistic model and decision tree $[4$ M$]$ Meta data for SCustomer Financial Info Data

The dataset contains information on customers financial profiles, including their demographics, financial products, and services usage.

$|$This data can be used for various analytical purposes, such as understanding customer behaviour, financial product usage, and creditworthiness.

Customer ID :$-$ Unique identifier for each customer.

Age : $-$ Age of the customer in years.

Years$\_$Experience :$-$ Number of years the customer has been working.

Annual income :$-$ Customer's annual income in thousands of dollars.

ZIP$\_$Code :$-$ Home Address ZIP code.

Family$\_$size :$-$ Number of family members.

Avg$\_$Spending :$-$ Average spending on credit cards per month in thousands of dollars.

Education$\_$Level:$-$ Educational qualification level of the customer $(1$: Undergrad; $2$: Graduate; $3$: Advanced$/$Professional$)$

Mortgage:$-$ Value of the mortgage loan if any, in thousands of dollars. $($$$000)$

Has$\_$Consumer$\_$Loan:$-$ Indicates if the customer has taken a consumer loan$(0$: No $,1$: Yes$)$

Has$\_$Securities$\_$Account :$-$ Indicates if the customer has a securities account.$(0$: No$,1$: Yes$)$

Has$\_$CD$\_$Account :$-$ Indicates if the customer has a certificate of deposit $($CD$)$ account.$(0$: No$,1$: Yes$)$

Uses$\_$Online$\_$Banking :$-$Indicates if the customer uses online banking services.$(0$: No$,1$: Yes$)$

Has$\_$CreditCard :$-$Indicates if the customer has a credit card.$(0$: No $,1$: Yes$)$

i$.$ Tune hyperparameters $($e$.$g$.,$ number of trees, maximum depth$)$ using cross$-$

validation. Justify your answer.

Performance Evaluation $2M$

a$.$ Compare the performance of the Logistic Regression and Decision Tree models

using appropriate evaluation metrics.

b$.$ Provide insights into which model performs better and why. Answer without

justification will not be awarded marks.