Match the LIST-I with LIST-II LIST-I A. Decision Tree B. Supervised Learning…

Correct matching and brief justification:

• Decision Tree → C4.5 Algorithm (III). C4.5 is a standard algorithm used to construct decision trees from labeled data.

• Supervised Learning → Non-linear Regression Algorithm (IV). Non-linear regression is an example of a supervised learning task where the model learns input-to-output mappings from labeled examples.

• Artificial Neural Network → Delta Learning Rule (I). The Delta rule is a supervised weight-update rule used in training perceptrons and related neural network models.

• Instance-based Learning → Self Organizing Map (II). A Self-Organizing Map represents data using prototype/unit vectors and assigns inputs to best-matching units, which is analogous to prototype/instance-based representation and nearest-unit assignment.

Why other options are incorrect (concise):

• Pairing Decision Tree with anything other than C4.5 is wrong because C4.5 is the canonical decision-tree algorithm listed here.

• Delta Learning Rule specifically relates to neural-network weight updates, so it pairs naturally with neural-network items rather than with decision-tree or instance-based entries.

• Self-Organizing Map is an unsupervised prototype-based network; treating it as the representative for instance/prototype approaches helps justify its pairing with instance-based learning in this context.