nyc-taxi-green-dec-2016
OpenML dataset with id 44143
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22103268/nyc-taxi-green-dec-2016.arff
Upload date: 5 July 2022
Dataset Characteristics
Number of classes: 0
Number of features: 10 (numeric: 10, symbolic: 0 and in total binary: 0 )
Number of instances: 581,835
Number of instances with missing values: 0
Number of missing values: 0
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on numerical features" benchmark. Original description:
String datetime information extracted to numeric columns.Trip Record Data provided by the New York City Taxi and Limousine Commission (TLC) [1]. The dataset includes TLC trips of the green line in December 2016. Data was downloaded on 03.11.2018. For a description of all variables in the dataset checkout the TLC homepage [2]. The variable 'tip_amount' was chosen as target variable. The variable 'total_amount' is ignored by default, otherwise the target could be predicted deterministically. The date variables 'lpep_pickup_datetime' and 'lpep_dropoff_datetime' (ignored by default) could be used to compute additional time features. In this version, we chose only trips with 'payment_type' == 1 (credit card), as tips are not included for most other payment types. We also removed the variables 'trip_distance' and 'fare_amount' to increase the importance of the categorical features 'PULocationID' and 'DOLocationID'.
This page was built for dataset: nyc-taxi-green-dec-2016
