What is the primary objective of linear regression in machine learning? A) Maximizing accuracy of predictions. B) Minimizing the number of features. C) Minimizing the sum of squared differences between predicted and actual values. D) Maximizing the correlation coefficient between variables.

What is the primary objective of linear regression in machine learning? A) Maximizing accuracy of predictions. B) Minimizing the number of features. C) Minimizing the sum of squared differences between predicted and actual values. D) Maximizing the correlation coefficient between variables.

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System Model Approaches

The systems model approach is a process-oriented representation that emphasizes the impact or flow of information between modules. The multidisciplinary study of the use of models to design and create systems in business and IT development is known as systems model approach. It models how processes interact and what these processes do, but it does not go into detail about how these processes are implemented. Functional decomposition may be utilized to enhance the models employed in this technique, and they can be coupled to requirements models for additional system partitioning.

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

A) Maximizing accuracy of predictions.
B) Minimizing the number of features.
C) Minimizing the sum of squared differences between predicted and actual values.

D) Maximizing the correlation coefficient between variables.

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