Use case on the Santander_transaction_volume dataset

Dataset Santander_transaction_value

Machine Learning Task: Regression

This is a Santander Transaction Value database. It provides an anonymized dataset containing numeric feature variables, the numeric target column, and a string ID column. The Santander Group supplied this database on Kaggle to find a way to identify the value of transactions for each potential customer. This is the first step that Santander needs to nail in order to personalize their services at scale. 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.

Available at OpenML:

Category: Technology

# Rows: 4,459 # Columns: 4,992

Target: target


Numeric: 48df886f9, 0deb4b6a8, 34b15f335, a8cb14b00, 2f0771a37, 30347e683, d08d1fbe3, 6ee66e115, 20aa07010, dc5a8f1d8, 11d86fa6a, 77c9823f2, 8d6c2a0b2, 4681de4fd, adf119b9a, cff75dd09, 96f83a237, b8a716ebf, 6c7a4567c, 4fcfd2b4d, ...

String: ID

Machine Learning Use Case Technology

Root Mean Square Error (RMSE)

Santander_Transaction_Volume Rmse

Mean Absolute Error (MAE)

Santander_Transaction_Volume Mae

Coefficient of Determination (R2)

Santander_Transaction_Volume R2

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