Codebucket Solutions Programmer Interview Questions and Answers

Credit card detection uses machine learning models.

• Machine learning models like logistic regression, decision trees, and neural networks are used for credit card detection.

• These models analyze patterns in credit card transactions to detect fraudulent activity.

• The models are trained on large datasets of both legitimate and fraudulent transactions.

• The models can be updated and improved over time as new data becomes avail

A confusion matrix is a table used to evaluate the performance of a classification model.

• It shows the number of true positives, true negatives, false positives, and false negatives.

• It helps in calculating various evaluation metrics like accuracy, precision, recall, and F1 score.

• It is useful in identifying the strengths and weaknesses of a model and improving its performance.

• Example: A confusion matrix for a binary clas...read more