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What are Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA) used for?
What concept do LDA and QDA use to make predictions?
Which superhero builds walls using only straight lines?
In what situation would Quadratic Discriminant Analysis (QDA) be more suitable than Linear Discriminant Analysis (LDA)?
What does Linear Discriminant Analysis (LDA) assume about the variance within each class?
Which superhero can build both straight and curved walls?
What is the advantage of Linear Discriminant Analysis (LDA) when compared to Quadratic Discriminant Analysis (QDA)?
What limitation does Quadratic Discriminant Analysis (QDA) have in terms of data requirements?
Which superhero is more flexible in building boundaries when the data is not linearly separable?
What is the primary advantage of Quadratic Discriminant Analysis (QDA) over Linear Discriminant Analysis (LDA)?
In which scenario would Linear Discriminant Analysis (LDA) be preferred over Quadratic Discriminant Analysis (QDA)?
What is the limitation of Linear Discriminant Analysis (LDA) in terms of building boundaries?
What assumption does Quadratic Discriminant Analysis (QDA) make about the spread (variance) within each class?
Which superhero is more adaptable to different types of data due to unique variance assumptions?
What is the advantage of Linear Discriminant Analysis (LDA) when dealing with limited data?
What is the limitation of Quadratic Discriminant Analysis (QDA) in terms of building boundaries?
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