BenchMark Quizzes by MDFT Pro

Select Features For Income Prediction Model

Claire, the Student Analytics Coordinator at MDFT Pro, is developing a predictive model to help the company set appropriate pricing tiers for its professional certification courses. MDFT Pro, a well-known training agency, wants to understand which factors influence students’ ability to invest in premium training programs so they can offer targeted financial aid and payment plans. Claire has collected data about current students and wants to build a machine learning model that can predict income ranges based on available demographic and educational information.

Based on the following student dataset, which two fields should Claire use as input features for predicting income ranges?

First Name	Last Name	Age	Education Level	Income Range
Mark	Gee	45	University	25-50k
Claire	Harris	36	High school	25-50k
Donna	Carreras	52	University	50-75k
Janet	Gates	21	University	75-100k
Lucy	Harrington	68	High school	50-75k

Which two fields should be used as features for the income prediction model?

Choose all correct answers from the options below.

Explanations for each answer:

Education Level is correct. Education Level shows clear correlation with income ranges in the dataset and is a meaningful predictor of earning potential in machine learning models.
Last Name is incorrect. Last Name is typically not a useful feature for income prediction as surnames don't inherently correlate with earning potential and could introduce unwanted bias.
Age is correct. Age demonstrates correlation with income in the dataset and is commonly used as a feature in income prediction models as experience often relates to earning potential.
Income Range is incorrect. Income Range is the target variable (label) that the model should predict, not a feature used as input for making predictions.
First Name is incorrect. First Name has no logical relationship to income prediction and using personal names as features could introduce bias and privacy concerns.

Learn more about machine learning features:

ML Feature Selection

Exam Preparation Quiz

Select Features For Income Prediction Model