bank: Bank Marketing Data Set
In gpboost: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
bank R Documentation
Bank Marketing Data Set
Description
This data set is originally from the Bank Marketing data set,
UCI Machine Learning Repository.
It contains only the following: bank.csv with 10
randomly selected from 3 (older version of this dataset with less inputs).
Usage
data(bank)
Format
A data.table with 4521 rows and 17 variables
References
http://archive.ics.uci.edu/ml/datasets/Bank+Marketing
S. Moro, P. Cortez and P. Rita. (2014)
A Data-Driven Approach to Predict the Success of Bank Telemarketing. Decision Support Systems
gpboost documentation built on Oct. 24, 2023, 9:09 a.m.
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| bank | R Documentation |
Bank Marketing Data Set
Description
This data set is originally from the Bank Marketing data set, UCI Machine Learning Repository.
It contains only the following: bank.csv with 10 randomly selected from 3 (older version of this dataset with less inputs).
Usage
data(bank)
Format
A data.table with 4521 rows and 17 variables
References
http://archive.ics.uci.edu/ml/datasets/Bank+Marketing
S. Moro, P. Cortez and P. Rita. (2014) A Data-Driven Approach to Predict the Success of Bank Telemarketing. Decision Support Systems
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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