This dataset presents an opportunity to construct predictive models aimed at estimating the total amount paid by travelers for taxi journeys. With access to a training set containing the target variable 'total_amount' along with various informative features, participants are challenged to create accurate predictive models.
The dataset comprises various columns, each offering valuable insights into taxi rides. Notably:
- total_amount: The total amount paid by the traveler for the taxi ride.
- VendorID: An identifier for taxi vendors.
- tpep_pickup_datetime and tpep_dropoff_datetime: Timestamps indicating pickup and dropoff times.
- passenger_count: The number of passengers during the ride.
- trip_distance: The distance traveled during the trip.
- RatecodeID: Rate code for the ride.
- store_and_fwd_flag: A flag indicating whether the trip data was stored and forwarded.
- PULocationID and DOLocationID: Pickup and dropoff location identifiers.
- payment_type: Payment type used for the ride.