Food Delivery Time Data for Regression Model Evaluation

A dataset curated by the TabArena team for evaluating predictive machine learning models on independent and identically distributed tabular data. The intended task is regression, predicting food delivery time. The original data was sourced from Kaggle in 2023.

Use Cases

• Predict food delivery time based on delivery person ID and other features.
• Benchmark regression model performance on independent and identically distributed data.
• Study potential cold-start problems in delivery time prediction using temporal splits.

Strengths

• Curated for a specific IID study on tabular ML, providing a clear evaluation purpose.
• Original data source is cited and publicly available on Kaggle.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and sample data are unknown, which may limit suitability assessment.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Kaggle User Rajatkumar30. 'Food Delivery Time.' Kaggle, 2023.

Collection Method

Curated from Kaggle; entries with duplicated IDs were dropped, and the ID column was removed.

Time Range

2023

Freshness

Dataset year is 2023, but last update date is unknown.

Geography

Unknown