Question

6) which one of the following is not an unsupervised lerning algorithms.
a) clustering algorithms
b) anomaly delection algorithms.
c) association rule learning algorithms.
d) linear segression​

Answer 1

Answer:

(d) linear segression

Answer 2

Option (D)

They do not unsupervised learning algorithms like linear regression​.

linear regression​:

• A linear technique for modeling the relationship between a scalar response and one or more explanatory factors is known as linear regression (also known as dependent and independent variables).
• Simple linear regression is used when there is only one explanatory variable.
• Multiple linear regression is used when there is more than one.
• Multivariate linear regression, on the other hand, predicts numerous correlated dependent variables rather than a single scalar variable.
• The associations are represented using linear predictor functions, whose unknown model parameters are derived from the data via linear regression.
• Linear models are the name given to such models.