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## 3.3 Partitioned Model

This topic describes the information about the partitioned model in Machine Learning.

Oracle in-Database machine learning allows the user to design partitioned models.

Partitioned model organizes and represents multiple models as partitions in a single model entity, enabling the user to easily build and manage models tailored to independent slices of data.

Table 3-6 Example - Customer details

CUSTOMER 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 | GRF | N | 16567 | 20 | 2500

In this above example of data, the user could build a single partitioned model on independent slices of data based on branch code.

The user has the advantage of having a single partitioned model instead of having multiple models for each individual branch.

Parent topic: Machine Learning Framework