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Which algorithm is commonly used for binary classification problems?

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Question: Which algorithm is commonly used for binary classification problems?

Options:

  1. K-Means Clustering
  2. Linear Regression
  3. Logistic Regression
  4. Principal Component Analysis

Correct Answer: Logistic Regression

Solution:

Logistic Regression is a widely used algorithm for binary classification tasks, modeling the probability of a binary outcome.

Which algorithm is commonly used for binary classification problems?

Practice Questions

Q1
Which algorithm is commonly used for binary classification problems?
  1. K-Means Clustering
  2. Linear Regression
  3. Logistic Regression
  4. Principal Component Analysis

Questions & Step-by-Step Solutions

Which algorithm is commonly used for binary classification problems?
  • Step 1: Understand what binary classification means. It is a type of problem where there are only two possible outcomes, like 'yes' or 'no'.
  • Step 2: Learn about algorithms. An algorithm is a method or a set of rules to solve a problem.
  • Step 3: Identify common algorithms for binary classification. One popular algorithm is Logistic Regression.
  • Step 4: Know what Logistic Regression does. It predicts the probability of one of the two outcomes based on input data.
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