Register

Go Classes | DA Course | Machine Learning

236 views
0 0 votes


In which of the following situations can logistic regression be used? Select all that apply.

 

  1. Predicting whether an email is a spam email or not based on its contents.
  2. Predicting the rainfall depth for a given day in a certain city based on the city's historical weather data.
  3. Predicting the cost of a house based on features of the house.
  4. Predicting if a patient has a disease or not based on the patient's symptoms and medical history.
     

1 Answer

0 0 votes

logical regression is used solve classification problems so


Both  A,D are correct
 

Voting & Accepting an answer helps improve the community
Answer:
← Previous · Go Classes | DA Cour...Next → · Go Classes | DA Cour...
← Previous in category · Go Classes | DA Cour...Next in category → · Go Classes | DA Cour...
Position:
Show:

Related questions

0 0 votes
0 0 answers
121
121 views
GO Classes asked Mar 18, 2025
121 views
Go Classes | DA Course | Machine Learning
Which of the following are valid reasons why we minimized the average cross-entropy loss rather than the average squared loss? To prevent our parameters from going to inf...
0 0 votes
1 1 answer
162
162 views
GO Classes asked Mar 18, 2025
162 views
GO Classes | DA Course | Machine Learning
Suppose that you have trained a logistic regression classifier $h_{\theta}(x) = \sigma(1 - x)$ where $\sigma(.)$ is the logistic/sigmoid function. What does its output on...
1 1 vote
1 1 answer
262
262 views
GO Classes asked Mar 18, 2025
262 views
Go Classes | DA Course | Machine Learning
Logistic regression is named after the log-odds of success (the logit of the probability) defined as$$\ln \left(\frac{\mathbb{P}[Y=1 \mid X=x]}{\mathbb{P}[Y=0 \mid X=x]}\...
1 1 vote
0 0 answers
240
240 views
GO Classes asked Mar 18, 2025
240 views
Go Classes | DA Course | Machine Learning
One of the objectives of cross-entropy loss is to both increase the probability of the true class and decrease the probabilities of the other classes. The formula for cro...