Santander_transaction_value
OpenML dataset with id 42572
No author found.
Full work available at URL: https://api.openml.org/data/v1/download/21854648/Santander_transaction_value.arff
Upload date: 30 June 2020
Dataset Characteristics
Number of classes: 0
Number of features: 4,992 (numeric: 4,992, symbolic: 0 and in total binary: 0 )
Number of instances: 4,459
Number of instances with missing values: 0
Number of missing values: 0
According to Epsilon research, 80% of customers are more likely to do business with you if you provide personalized service. Banking is no exception.
The digitalization of everyday lives means that customers expect services to be delivered in a personalized and timely manner... and often before they've even realized they need the service. In their 3rd Kaggle competition, Santander Group aims to go a step beyond recognizing that there is a need to provide a customer a financial service and intends to determine the amount or value of the customer's transaction. This means anticipating customer needs in a more concrete, but also simple and personal way. With so many choices for financial services, this need is greater now than ever before.
In this competition, Santander Group is asking Kagglers to help them identify the value of transactions for each potential customer. This is a first step that Santander needs to nail in order to personalize their services at scale.
You are provided with an anonymized dataset containing numeric feature variables, the numeric target column, and a string ID column.
The task is to predict the value of target column.
This page was built for dataset: Santander_transaction_value
