41475 atp1d 2 Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The Airline Ticket Price dataset concerns the prediction of airline ticket prices. The rows are a sequence of time-ordered observations over several days. Each sample in this dataset represents a set of observations from a specific observation date and departure date pair. The input variables for each sample are values that may be useful for prediction of the airline ticket prices for a specific departure date. The target variables in these datasets are the next day (ATP1D) price or minimum price observed over the next 7 days (ATP7D) for 6 target flight preferences: (1) any airline with any number of stops, (2) any airline non-stop only, (3) Delta Airlines, (4) Continental Airlines, (5) Airtrain Airlines, and (6) United Airlines. The input variables include the following types: the number of days between the observation date and the departure date (1 feature), the boolean variables for day-of-the-week of the observation date (7 features), the complete enumeration of the following 4 values: (1) the minimum price, mean price, and number of quotes from (2) all airlines and from each airline quoting more than 50 % of the observation days (3) for non-stop, one-stop, and two-stop flights, (4) for the current day, previous day, and two days previous. The result is a feature set of 411 variables. For specific details on how these datasets are constructed please consult Groves and Gini (2015). The nature of these datasets is heterogeneous with a mixture of several types of variables including boolean variables, prices, and counts. 1 ARFF 2019-03-14T18:07:38 Public https://api.openml.org/data/v1/download/21230432/atp1d.arff https://openml1.win.tue.nl/datasets/0004/41475/dataset_41475.pq 21230432 LBL_ALLminpA_fut_001,LBL_ALLminp0_fut_001,LBL_aDLminpA_fut_001,LBL_aCOminpA_fut_001,LBL_aFLminpA_fut_001,LBL_aUAminpA_fut_001 https://link.springer.com/article/10.1007%2Fs10994-016-5546-z 2019_multioutput_paperMachine LearningManufacturing public https://openml1.win.tue.nl/datasets/0004/41475/dataset_41475.pq active 2019-03-14 18:08:07 cab477cdfbc210bffa64f18bb9b77ab6