The label predicted by the regression algorithm is?

Question

Options

• ASelf-deformation
• BDiscrete
• CStrain type
• DContinuous

• A
  2% (1)
• B
  5% (2)
• C
  15% (6)
• D
  78% (32)

Explanation

Regression algorithms predict continuous values - numerical outputs that can take any value within a range (e.g., house prices, temperature, salary). This distinguishes regression from classification, which predicts discrete class labels.

• A (Self-deformation) - Not a machine learning concept; a term from materials science/physics with no relevance here.
• B (Discrete) - Discrete labels (distinct, separate categories like "cat" or "dog") are the domain of classification algorithms, not regression.
• C (Strain type) - Another materials/engineering term; has no meaning in the context of ML label types.

Memory tip: Think of the word "regress" - it implies moving along a scale or spectrum. Regression = sliding along a continuous number line, while classification = snapping to a fixed bucket.

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