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meriva
3 years ago
6

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 ask

ed 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
Computers and Technology
1 answer:
serg [7]3 years ago
3 0

Answer:

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.  

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Explanation:

The option that he should implement would be a switchboard interface design. These design structures for graphic user interfaces use a single main page, large icons/buttons, a fixed navigation menu, and all the necessary functionality right in front of the user. This design is made with simplicity in mind in order to make it as easy as possible for a new user to pick up and efficiently and intuitively navigate the user interface. Therefore, since Calvin needs a simple yet professional design, this would be the best implementation.

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Answer:          

Data Mining

Explanation:

  • Data Mining is also called knowledge discovery.
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Answer:

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Explanation:

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