COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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One of the types of problems solved using machine learning where the output is a categorical quantity and the main aim is to compute the category of the data.
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Regression
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Classification
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Clustering
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None of the above
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Explanation:
Detailed explanation-1: -While numerous techniques exist to transform these features, the most common technique is one-hot encoding. In one-hot encoding, a categorical variable is converted into a set of binary indicators (one per category in the entire dataset).
Detailed explanation-2: -The most common classification algorithms include: Logistic Regression. K Nearest Neighbors (KNN) Support Vector Machine (SVM)
Detailed explanation-3: -Logistic Regression is a classification algorithm so it is best applied to categorical data.
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