Final answer:
The model described for predicting customer spending based on their incomes is an example of a supervised regression model, where past data is used to predict quantitative outcomes. Therefore, the correct option to classify the model is d. Supervised and e. Regression
Step-by-step explanation:
The question asks to determine if a certain model is a supervised or unsupervised model. Given the context, a supervised learning model is appropriate because the scenario described involves using past data (about customers' incomes and their spending habits with a coupon) to predict outcomes.
Examining the scenario more closely involves predicting a continuous output (the amount spent) based on input data (customer income), which corresponds to a regression problem within supervised learning. Therefore, the correct option to classify the model is d. Supervised and e. Regression. The predictive model aims to map input features (the area around the restaurant and incomes) to a continuous output (spending amounts), which are characteristics of regression in supervised learning contexts.