The goal of the project is to create a predictive model for classifying new bookings as to whether they will eventually get cancelled due to car unavailability. This is a classification task that includes misclassification costs.

Algorithms used: Logistic Regression, Descision Tree, Random Forest, KNN, Naive Bayes.

Dataset used: https://www.kaggle.com/c/predicting-cab-booking-cancellations/overview