# BIDS - Machine Learning — Data

来源：https://www.kaggle.com/competitions/bids-machine-learning/data

采集时间：2026-10-20T09:48:03Z

Bike Sharing
Bike sharing systems are new generation of traditional bike rentals where whole process from membership, rental and return back has become automatic. Through these systems, user is able to easily rent a bike from a particular position and return back at another position. Currently, there are about over 500 bike-sharing programs around the world which is composed of over 500 thousands bicycles. Today, there exists great interest in these systems due to their important role in traffic, environmental and health issues.
This is a real world dataset obtained from a bike sharing systems, the characteristics of data being generated by these systems make them attractive for the research.
Opposed to other transport services such as bus or subway, the duration of travel, departure and arrival position is explicitly recorded in these systems. This feature turns bike sharing system into a virtual sensor network that can be used for sensing mobility in the city.
Your mission is to try to predict the number of bikes being rented each day using the provided variables.
File descriptions
train.csv
- the training set
test.csv
- the test set
sampleSubmission.csv
- a sample submission file in the correct format
Data fields
Please check the field description on the train dataset (click the train.csv link on the "Data Sources" and you will see it on "Columns").