A. Choosing α in cost-complexity pruning involves finding the value that optimally balances model complexity and predictive accuracy. This can be achieved through techniques such as cross-validation, where different values of α are evaluated on validation data to select the one that minimizes a specified criterion, such as error rate or information gain.