Consider the following learning algorithms: (a) Logistic repression (b) Back…

Answer: Logistic regression and backpropagation.

Why:

• Logistic regression: a supervised classification algorithm used to predict discrete class labels (commonly binary), modeling class probabilities.

• Backpropagation: an optimization/training algorithm for neural networks; neural networks trained via backpropagation are commonly applied to classification tasks, so backpropagation is associated with building classifiers.

• Linear regression: a regression algorithm that predicts continuous numeric values and is not a classification method.

Conclusion: The algorithms related to classification in the list are logistic regression and backpropagation (used to train classifiers). Linear regression is for continuous outputs and should not be counted as a classification algorithm.