Data Mining: I've tried this problem a couple of times and keep getting errors. Can you show how to code this using R studio? Start to FinishData Mining

The data are taken from Shmueli et al$.(2010).$ The data set consists of $2201$ airplane

flights in January $2004$ from the Washington DC area into the NYC area. The

characteristic of interest $($the response$)$ is whether or not a flight has been delayed by

more than $15$min $($coded as $0$ for no delay, and $1$ for delay$).$

The explanatory variables $($predictor$)$ include three different arrival airports $($Kennedy$,$

Newark, and LaGuardia$)$; three different departure airports $($Reagan$,$ Dulles, and

Baltimore$)$; eight carriers; a categorical variable for schedule time $($morning$,$ evening,

night$)$; weather conditions $(0=$ good $\frac{?}{1}=$ bad$)$; day of week $(1$ for Sunday and Monday;

and $0$ for all other days$).$

Here the objective is to identify flights that are likely to be delayed.

You will need to do some feature engineering: Use the variable "schedtime" to create a

new variable "sched$\_$time" that indicates whether the schedule was in morning, evening

or night.

Do not use flight number as predictor? Why: Because that's not an informative variable

and would force model remember the outcome based on flight number, and won't work

in the test data.

Use the flight delay data to predict the flight delay status $($Ontime vs Delayed$).$

Use logistic regression model and one more classification model of your

choosing $($Decision tree, Na$$ve Bayes, KNN$).$

Interpret the coefficients estimated from the logistic regression model.

Provide model performance metrics for both the modes $($Logistic vs the other

model of your choosing$).$

Provide interpretation of these model performance metrics.

Which model you would choose and why?

Show the detailed work with all the steps for feature engineering, explanatory data

analysis, model fitting and prediction, and model evaluation. Preferably submit a html

file generated using rmarkdown.

Data Categories that im using are as follows: "schedtime", "carrier", "deptime", "dest", "distance", "date", "flightnumber", "origin", "weather", "dayweek", "daymonth", "tailnu", and "delay"