AI_ML

What is the primary objective of linear regression in machine learning?

• Classification

• Clustering

• Pridiction

• Feature extraction

Question: What does the term "residuals" refer to in the context of linear regression?

• Independent variables

• Predicted values

• Errors or the differences between observed and predicted values

• Training data

In a simple linear regression model, what does the intercept represent?

• The value of the dependent variable when the independent variable is zero

• The slope of the regression line

• The average value of the dependent variable

• The correlation coefficient

Which of the following is a characteristic of supervised learning?

• The model operates without any input labels.

• The primary goal is anomaly detection.

• The model learns from labeled data.

• Clustering is a common technique.

Which type of learning is associated with clustering algorithms?

• • Supervised learning

• • Reinforcement learning

• • Semi-supervised learning

• • Unsupervised learning