osales
OpenML dataset with id 41482
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Full work available at URL: https://api.openml.org/data/v1/download/21230439/osales.arff
Upload date: 14 March 2019
Dataset Characteristics
Number of features: 413 (numeric: 413, symbolic: 0 and in total binary: 0 )
Number of instances: 639
Number of instances with missing values: 639
Number of missing values: 10,012
Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : This is a pre-processed version of the dataset used in Kaggles Online Product Sales competition (Kaggle 2012) that concerns the prediction of the online sales of consumer products. Each row in the dataset corresponds to a different product that is described by various product features as well as features of an advertising campaign. There are 12 target variables corresponding to the monthly sales for the first 12 months after the product launches. For the purposes of this study we removed examples with missing values in any target variable (112 out of 751) and attributes with one distinct value (145 out of 558).
This page was built for dataset: osales
