NYC Green Taxi Trip Records from December 2016 for Regression Benchmarking

Trip record data from the New York City Taxi and Limousine Commission for green taxi line trips in December 2016. The dataset was transformed for a tabular data benchmark, with 'tip_amount' as the target variable and a focus on credit card payments. Data was downloaded on November 3, 2018.

Use Cases

• Benchmark regression model performance based on the structured 'regression on categorical and numerical features' task.
• Predict taxi tip amounts based on trip features such as pickup and drop-off location IDs.
• Engineer time-based features from the pickup and drop-off datetime columns mentioned in the description.

Strengths

• Derived from an official source, the New York City Taxi and Limousine Commission.
• Target variable 'tip_amount' is clearly defined, and confounding variables like 'total_amount' are noted.
• Data is filtered to credit card payments, which likely improves consistency for tip prediction.

Limitations

• Row count and column details are unknown, limiting suitability assessment.
• Data is from a single month in 2016, which may not reflect current patterns.
• The description notes specific columns were removed, which alters the original data structure.

Provenance

Source

New York City Taxi and Limousine Commission (TLC)

Collection Method

Original trip records were downloaded and transformed for a benchmark.

Time Range

December 2016

Freshness

Last update date is unknown; freshness unverified.

Geography

New York City, USA