Airbnb_NewUser_Booking_Prediction

Project for Machine Learning course 2020 Fall Semester - AI 511 @ IIIT Bangalore

Objective

Predict top 3 destinations where a new user is most likely to make a booking

Problem Type

Multi Class Classification

Best Model

Ensemble of RandomForestCLassifier, LightGBM and XGBoost made into a Stacking using StackingClassifier with passthrough=True and then using LogisticRegression as the final estimator

Language, Tools and Technologies

Google Colab, Python, Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn, LightGBM and XGBoost

Score

Scoring Metric used is NDCG and the obtained score is 0.92256 on Kaggle's Private Leaderboard of an In-Class Competition.

Original Kaggle contest link