Civil Engineering (CE) Exam > Civil Engineering (CE) Questions > Consider the following learning algorithms:(a...
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Consider the following learning algorithms:
(a) Logistic regression
(b) Back propagation
(c) Linear repression
Which of the following option represents classification algorithms?
- a)Only (a) and (b)
- b)Only (a) and (c)
- c)Only (b) and (c)
- d)(a), (b), and (c)
Correct answer is option 'A'. Can you explain this answer?
Verified Answer
Consider the following learning algorithms:(a) Logistic regression(b) ...
Concept:
Learning algorithms: These algorithms are used in machine learning to help technology in human learning process. It is used to process data to extract patterns appropriate for application in a new system.
Explanation:
From above given options, only a) and b) are learning algorithms.
a) Logistic regression: It is used for binary classification problems. It is used to examine and describe the relationship between a binary variable and set of predicator variables. The primary objective of logistic regression is to model the mean of the response variables, given a set or predicator variables.
b) Back propagation: It is the essence of neural net training. It is the method of fine tuning the weights of a neural net based on the error rate obtained in the previous iteration. It is a standard method of training artificial neural networks.
Concept:
Learning algorithms: These algorithms are used in machine learning to help technology in human learning process. It is used to process data to extract patterns appropriate for application in a new system.
Explanation:
From above given options, only a) and b) are learning algorithms.
a) Logistic regression: It is used for binary classification problems. It is used to examine and describe the relationship between a binary variable and set of predicator variables. The primary objective of logistic regression is to model the mean of the response variables, given a set or predicator variables.
b) Back propagation: It is the essence of neural net training. It is the method of fine tuning the weights of a neural net based on the error rate obtained in the previous iteration. It is a standard method of training artificial neural networks.
Most Upvoted Answer
Consider the following learning algorithms:(a) Logistic regression(b) ...
Explanation:
Classification Algorithms:
- Logistic regression and back propagation are both widely used algorithms in machine learning for classification tasks.
- Logistic regression is commonly used for binary classification, while back propagation is often used in neural networks for multi-class classification.
- Linear regression, on the other hand, is a regression algorithm used for predicting continuous values rather than classifying data.
Answer Justification:
- Option (a) states that logistic regression and back propagation are classification algorithms, which is correct based on their applications in binary and multi-class classification tasks.
- Option (b) is incorrect because linear regression is not a classification algorithm, it is a regression algorithm.
- Option (c) is incorrect because back propagation is a classification algorithm, but linear regression is not.
Therefore, the correct answer is option 'a', which includes only logistic regression and back propagation as classification algorithms.
Classification Algorithms:
- Logistic regression and back propagation are both widely used algorithms in machine learning for classification tasks.
- Logistic regression is commonly used for binary classification, while back propagation is often used in neural networks for multi-class classification.
- Linear regression, on the other hand, is a regression algorithm used for predicting continuous values rather than classifying data.
Answer Justification:
- Option (a) states that logistic regression and back propagation are classification algorithms, which is correct based on their applications in binary and multi-class classification tasks.
- Option (b) is incorrect because linear regression is not a classification algorithm, it is a regression algorithm.
- Option (c) is incorrect because back propagation is a classification algorithm, but linear regression is not.
Therefore, the correct answer is option 'a', which includes only logistic regression and back propagation as classification algorithms.
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Consider the following learning algorithms:(a) Logistic regression(b) Back propagation(c) Linear repressionWhich of the following option represents classification algorithms?a)Only (a) and (b)b)Only (a) and (c)c)Only (b) and (c)d)(a), (b), and (c)Correct answer is option 'A'. Can you explain this answer?
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