שאלה | What is the primary difference between global and local interpretation in machine learning?

What is the primary difference between global and local interpretation in machine learning?

		Global interpretation analyzes the impact of outliers, while local interpretation assesses model performance metrics.
		Global interpretation explains overall trends in the data, while local interpretation focuses on individual predictions.
		Global interpretation is based on domain-specific knowledge, while local interpretation relies on statistical methods.
		Global interpretation involves visualizing the data, while local interpretation involves feature engineering.