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## 3.2.3 Regression

This topic describes the information about the regression in Machine Learning.

Regression is a statistical technique to discover relationships using independent variables to estimate / predict a target variable of NUMBER or INTEGER type.

For example: The user needs to predict the value of LUXURY SPEND for a new CASE ID, given the data of branch, marital status, income, and savings

Table 3-2 Example - Case Details

CASE ID | BRANCH | MARITAL STATUS | INCOME | SAVING | LUXURY SPEND
--- | --- | --- | --- | --- | ---
12345 | BRT | Y | 15000 | 6723 | 1000
12346 | BRT | N | 17500 | 250 | 750
12347 | CSR | D | 25000 | 2654 | 1900
12348 | CSR | N | 16567 | 20 | 2500

Note:

The CASE ID must uniquely identify a row.

Parent topic: Frameworks Supported