Supervised vs

To learn patterns and structures from input data with explicit supervision

To predict the values of the target attribute in future data instances

To explore and uncover underlying relationships and groupings in the data (correct)

To discover patterns in the data that relate data attributes with a target attribute

Supervised learning involves finding inherent patterns on its own

Supervised learning explores intrinsic structures in the data

Unsupervised learning has no labeled target variables (correct)

Unsupervised learning predicts values of the target attribute

Inherent patterns with labeled target variables

Patterns and structures without explicit supervision (correct)

Target attribute values for future instances

Data attributes related to a target attribute

<p>Learning patterns and structures without explicit supervision</p> Signup and view all the answers

<p>Exploring and uncovering underlying relationships and groupings in the data</p> Signup and view all the answers