Which supervised learning algorithm is typically used for binary classification

Practice Questions

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

Questions & Step-by-Step Solutions

Which supervised learning algorithm is typically used for binary classification tasks?
  • Step 1: Understand what binary classification means. It involves categorizing data into two distinct classes or outcomes, like 'yes' or 'no'.
  • Step 2: Learn about supervised learning. This is a type of machine learning where the model is trained on labeled data, meaning we know the correct answer for the training examples.
  • Step 3: Identify common algorithms used in supervised learning. There are several, but we are focusing on those used for binary classification.
  • Step 4: Recognize that Logistic Regression is one of the most popular algorithms for binary classification tasks.
  • Step 5: Understand that Logistic Regression works by predicting the probability of an outcome falling into one of the two classes based on input features.
No concepts available.
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