Replication Data for: Predictive Modeling in Marketing: Ensemble Methods for Response Modeling
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'These files contain the data set used for the empirical analyses in the article, both in CSV format and in R native format, RData. The data set contains anonymized data of 100,000 customers of a leading financial services provider in Germany with 35 variables. Target variable: cross-sell.We also include an Excel spreadsheet with an overview of the variables contained in the data set and the programming code (programming language R) used in the analyses.For any questions or inquiries, please contact the corresponding author, Gabriela Alves Werb. Please cite as:Alves Werb, G., & Schmidberger, M. (2021). Predictive Modeling in Marketing: Ensemble Methods for Response Modeling. Die Unternehmung, 75(3), 376-396. doi:10.5771/0042-059X-2021-3-37' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["cross-selling","customer response","marketing models","predictive modeling","response modeling"]} <|eot_id|>
 Here is the Description of a dataset. Description:'These files contain the data set used for the empirical analyses in the article, both in CSV format and in R native format, RData. The data set contains anonymized data of 100,000 customers of a leading financial services provider in Germany with 35 variables. Target variable: cross-sell.We also include an Excel spreadsheet with an overview of the variables contained in the data set and the programming code (programming language R) used in the analyses.For any questions or inquiries, please contact the corresponding author, Gabriela Alves Werb. Please cite as:Alves Werb, G., & Schmidberger, M. (2021). Predictive Modeling in Marketing: Ensemble Methods for Response Modeling. Die Unternehmung, 75(3), 376-396. doi:10.5771/0042-059X-2021-3-37' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
These files contain the data set used for the empirical analyses in the article, both in CSV format and in R native format, RData. The data set contains anonymized data of 100,000 customers of a leading financial services provider in Germany with 35 variables. Target variable: cross-sell.We also include an Excel spreadsheet with an overview of the variables contained in the data set and the programming code (programming language R) used in the analyses.For any questions or inquiries, please contact the corresponding author, Gabriela Alves Werb. Please cite as:Alves Werb, G., & Schmidberger, M. (2021). Predictive Modeling in Marketing: Ensemble Methods for Response Modeling. Die Unternehmung, 75(3), 376-396. doi:10.5771/0042-059X-2021-3-37
cross-selling; customer response; marketing models; predictive modeling; response modeling