nyc_taxi_green
OpenML dataset with id 44986
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22111850/nyc_taxi_green.arff
Upload date: 22 December 2022
Dataset Characteristics
Number of classes: 0
Number of features: 19 (numeric: 10, symbolic: 9 and in total binary: 3 )
Number of instances: 581,835
Number of instances with missing values: 0
Number of missing values: 0
Data Description
The dataset includes New York City Taxi and Limousine Commission (TLC) trips of the green line in December 2016. All trips are paid with a credit card leaving some tip.
The variable 'tip_amount' was chosen as target variable.
Attribute Description
1. *VendorID* - A code indicating the LPEP provider that provided the record. 1: Creative Mobile Technologies, LLC; 2: VeriFone Inc.
2. *store_and_fwd_flag*
3. *RatecodeID*
4. *PULocationID*
5. *DOLocationID* - TLC Taxi Zone in which the taximeter was disengaged.
6. *passenger_count* - the number of passengers in the vehicle. This is a driver-entered value
7. *extra* - miscellaneous extras and surcharges. Currently, this only includes the $0.50 and $1 rush hour and overnight charges
8. *mta_tax* - $0.50 MTA tax that is automatically triggered based on the metered rate in use.
9. *tip_amount* - target feature
10. *tolls_amount*
11. *improvement_surcharge* - $0.30 improvement surcharge assessed on hailed trips at the flag drop
12. *total_amount*
13. *trip_type* - 1: Street-hail, 2: Dispatch
14. *lpep_pickup_datetime_day*
15. *lpep_pickup_datetime_hour*
16. *lpep_pickup_datetime_minute*
17. *lpep_dropoff_datetime_day*
18. *lpep_dropoff_datetime_hour*
19. *lpep_dropoff_datetime_minute*
This page was built for dataset: nyc_taxi_green
