CreditAccess Grameen Assistant Manager/Manager -(Technical) Interview Questions and Answers

Creating a bad definition in risk modelling

• Using vague or ambiguous terms in the definition

• Neglecting to consider all relevant factors

• Failing to update the definition as circumstances change

• Relying solely on historical data without considering future trends

• Ignoring expert opinions or industry best practices

Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models.

• Bagging involves training multiple models on different subsets of the training data and then combining their predictions through voting or averaging.

• Boosting involves training multiple models sequentially, with each subsequent model focusing on the samples that the previous models misclassified.

• Bagging reduc...read more