APPLICATION OF SUPERVISED LEARNING
SUPERVISED LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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True
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False
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Either A or B
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None of the above
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Detailed explanation-1: -It can be used for Classification as well as for Regression problems, but mainly used for Classification problems. Logistic regression is used to predict the categorical dependent variable with the help of independent variables. The output of Logistic Regression problem can be only between the 0 and 1.
Detailed explanation-2: -Both logistic and linear regression are supervised machine learning algorithms and the two main types of regression analysis. While logistic regression is used to solve classification problems, linear regression is primarily used for regression problems.
Detailed explanation-3: -Logistic regression is commonly used for prediction and classification problems. Some of these use cases include: Fraud detection: Logistic regression models can help teams identify data anomalies, which are predictive of fraud.
Detailed explanation-4: -Answer using either TRUE or FALSE. Is logistic regression a type of a supervised machine learning algorithm? Ans. Yes, the answer to this question would be TRUE because, indeed, logistic regression is a supervised machine learning algorithm.