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Unit 5: Regression Analysis and Time Series Mining

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Unit 5: Regression Analysis and Time Series Mining

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Questions and Answers

What is the primary purpose of applying a Box-Cox transformation in TBATS?

To model the exponentially smoothed trend component

To eliminate the effects of seasonality

To handle nonlinear relationships in the data

To stabilize the variance of the time series (correct)

Which of the following machine learning algorithms is known for its ability to capture complex relationships in the data?

TBATS

Random Forest (correct)

Linear Regression

ARMA

What is a key advantage of using Linear Regression for regression tasks?

Its interpretability and computational efficiency (correct)

Its robustness to overfitting

Its ability to handle nonlinear relationships

Its ability to handle a small number of features

What type of time series patterns does TBATS model?

Daily, weekly, and annual patterns Signup and view all the answers

How does Random Forest make its final prediction?

By aggregating the predictions of multiple decision trees Signup and view all the answers

What does TBATS model in a time series?

Multiple patterns, including daily, weekly, and annual Signup and view all the answers

What assumption does linear regression make about the relationship between variables?

Linear relationship Signup and view all the answers

What is an advantage of using linear regression?

Interpretability and computational efficiency Signup and view all the answers

What type of tasks can Random Forest handle?

Both regression and classification tasks Signup and view all the answers

What is a limitation of linear regression?

It may not capture complex relationships Signup and view all the answers