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## 3.2.5 Classification

This topic describes the information about the Classification.

Classification is a statistical technique to discover relationships using independent variables to classify a target variable into a number of GROUPS or CLASSES. Mostly used for decision making.

For example: The user needs to predict if a new CASE ID will churn(1) or not (0), given the data of branch, marital status, income and savings.

Table 3-4 Sample Classification

CASE ID | BRANCH | MARITAL STATUS | INCOME | SAVING | CHURN
--- | --- | --- | --- | --- | ---
12345 | BRT | Y | 15000 | 6723 | 0
12346 | BRT | N | 17500 | 250 | 1
12347 | CSR | D | 25000 | 2654 | 1
12348 | CSR | N | 16567 | 20 | 0

Note:

CASE ID must be unique to identify a row.

Parent topic: Frameworks Supported