Question

Which of the following is a supervised learning problem? (multiple options may be correct)

Predicting credit approval based on historical data


Grouping people in a social network.


Predicting the gender of a person from his/her image. You are given the data of 1 Million images along the gender.


Given the class labels of old news articles, predicting the class of a new news article from its content. Class of a news article can be such as sports, politics, technology, etc.

Answer 1

Answer:

Explanation:

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Answer 2

Answer: Predicting credit approval based on historical data

              Predicting the gender of a person from his/her image

Both are the correct answers.

Explanation:

Supervised Learning: One method of predicting the dependent variable is supervised learning.

• One dependent variable and n independent variables are possible.
• Use Naive Bayes if the data is too huge, or Linear SVM & Naive, if not.
• Explainable Regression in logistics and the third option.
• Rapidity and precision Random Forest, Kernel SVM, and neural networks.
• The tree contains gradient boosting.
• OLS and linear regression are both used ( Ordinary least square).

Hence, Predicting credit approval based on historical data and Predicting the gender of a person from his/her image are both the correct options.

To know more about supervised Learning from the given link

https://brainly.in/question/7470032

https://brainly.in/question/15277016

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