What differentiates Linear Discriminant Analysis (LDA) from Quadratic Discriminant Analysis (QDA)?
LDA assumes heterogeneity among class variances, while QDA allows for each class to have its own variance.
LDA assumes heterogeneity among class variances, while QDA allows for each class to have its own variance.
Logistic regression is the most traditional classification algorithm and preserves many of the advantages in interpretation as linear regression for a continuous outcome.
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