Description: The train and test dataset is split based on time, and the public/private leaderboard in the test data are split randomly. There is no concept of a person in this dataset. All the row_id's are events, not people. Some of the columns, such as time and accuracy, are intentionally left vague in their definitions. Please consider them as part of the challenge.

File descriptions:
1. train.csv, test.csv (https://www.kaggle.com/c/facebook-v-predicting-check-ins/data)

• row_id: id of the check-in event
• x y: coordinates
• accuracy: location accuracy
• time: timestamp
• place_id: id of the business, this is the target you are predicting

2. train_x_y.csv
x y: coordinates (https://drive.google.com/file/d/151xoFDNtabYaFT6Dxy5D1nXp_-8L1ttq/view?usp=sharing)