MCQ IN COMPUTER SCIENCE & ENGINEERING

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COMPUTER SCIENCE AND ENGINEERING

MACHINE LEARNING

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
A credit card company typically receives hundreds of thousands of applications for new cards. The application contains information regarding several different attributes, such as annual salary, any outstanding debts, age etc. The problem is to categorize applications into those who have good credit, bad credit, or fall into a gray area (thus requiring further human analysis). What pattern identification method in machine learning (classification or clustering) is applicable to this problem?
A
Classification
B
Clustering
C
Either A or B
D
None of the above
Explanation: 

Detailed explanation-1: -’Classification’ is the machine learning technique that would be suggested to categorize applications into good credit and bad credit.

Detailed explanation-2: -Ballistocardiography is a technique in which the mechanical activity of the heart is recorded. We present a novel algorithm for the detection of individual heart beats in ballistocardiograms (BCGs).

Detailed explanation-3: -Examples of classification problems include: Given an example, classify if it is spam or not. Given a handwritten character, classify it as one of the known characters. Given recent user behavior, classify as churn or not.

Detailed explanation-4: -Classification is a type of machine learning task that involves predicting a discrete label based on input data. For example, a classification model might be trained to predict whether an email is spam or not spam, based on the contents of the email.

There is 1 question to complete.
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