Question

. Which of the following Machine Learning Algorithms is more applicable for continuous data?

Answer 1

Regression Algorithms are the Machine Learning Algorithms that are more applicable for the analysis of continuous data.

Explanation:

• Regression is a predictive modeling and analyzing technique of continuous data. It helps in reading the relationship between the independent variable which is a predictor and the dependent variable which is the target.

• This technique is highly used in weather prediction, road accident data analysis, etc. as they are continuous (keeps on happening).

• Based on the type of data we are analyzing, the regression analysis is divided into several types. However, among them, linear and logistic regressions are highly used.

• Linear regression builds a relationship between the dependent and one or more independent variables with the help of a best fit straight line (using least square method). The graph goes for a straight line.

• If the dependent variable is of binary type, we use logistic regression. The graph forms a curve.

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