You are given a data set with information from 1,000 high school students (of which the following is a part of the data) and asked to build a machine learning solution that can predict the success of a student in completing a college degree. Which technique would be the best to use? Select one:a. Clusteringb. Text Analyticsc. Regressiond. Classification

Question

Damien

Computers & Technology

2 January, 15:54

You are given a data set with information from 1,000 high school students (of which the following is a part of the data) and asked to build a machine learning solution that can predict the success of a student in completing a college degree. Which technique would be the best to use? Select one:a. Clusteringb. Text Analyticsc. Regressiond. Classification

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Frederick Alexander · Answer 1

Classification

Explanation:

Building a machine learning solution that can predict the success of a student in completing a college degree is a binary problem. There are two possible answer: success or not success.

This brings us to a supervised machine learning problem, where one trains the technique with labeled data whether it is a success or not. Since the target variable is discrete (not continuous), classification technique has to be used.