1. Apartment for rent classified: This is a dataset of classified for apartments for rent in USA.
2. Wholesale customers: The data set refers to clients of a wholesale distributor. It includes the annual spending in monetary units (m.u.) on diverse product categories 3. Facebook Live Sellers in Thailand: Facebook pages of 10 Thai fashion and cosmetics retail sellers. Posts of a different nature (video, photos, statuses, and links). Engagement metrics consist of comments, shares, and reactions. 4. Incident management process enriched event log: This event log was extracted from data gathered from the audit system of an instance of the ServiceNow platform used by an IT company and enriched with data loaded from a relational database. 5. South German Credit: 700 good and 300 bad credits with 20 predictor variables. Data from 1973 to 1975. Stratified sample from actual credits with bad credits heavily oversampled. A cost matrix can be used. 6. Stock keeping units: The dataset is provided by the “Trialto Latvia LTD”, the third-party logistics operator. Each observation stands for a distinct type of item for sale. 7. Vehicle routing and scheduling problems: Data collection was conducted through notes taken during the distribution of orders in a courier company that operates in the region and in the city of São Paulo (Brazil). 8. clickstream data for online shopping: The dataset contains information on clickstream from online store offering clothing for pregnant women. 9. South German Credit (UPDATE): 700 good and 300 bad credits with 20 predictor variables. Data from 1973 to 1975. Stratified sample from actual credits with bad credits heavily oversampled. A cost matrix can be used. 10. Stock keeping units: The dataset is provided by the “Trialto Latvia LTD”, the third-party logistics operator. Each observation stands for a distinct type of item for sale. 11. Online Retail: This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail. 12. Non verbal tourists data: This dataset contains the information about non-verbal preferences of tourists 13. Absenteeism at work: The database was created with records of absenteeism at work from July 2007 to July 2010 at a courier company in Brazil. 14. Online Shoppers Purchasing Intention Dataset: Of the 12,330 sessions in the dataset,
84.5% (10,422) were negative class samples that did not
end with shopping, and the rest (1908) were positive class
samples ending with shopping. 15. Online Retail II: A real online retail transaction data set of two years. | 
