Looking at a dataset that reviews several factors about housing prices for single$-$family residences in the suburbs of Boston, what algorithms might be useful for predicting these housing values? The goal is to help prioritize various issues within the city limits of the suburbs in order to boost the housing values, thereby increasing property tax revenue so the towns can continue to thrive. Below is a description of the data elements included in the study.

F$2022$ Final $-$ Reg Anal Case $-$ Data Definitions.png

For other questions in this case study, we are using a Regression analysis. What would be other algorithms that might provide meaningful results $($help to predict the housing values in a suburb, based on one or more of several other factors$)?($Select all that apply$)$

Group of answer choices

Neural Network

None of the list algorithms are appropriate for this analysis.

Decision Tree

K$-$nearest Neighbor Clustering algorithm