Survival Model Execution Parameters

This table provides information on the Survival Model execution parameters.

Table 22-4 The Survival Model Execution Parameters

Sl. No.	Parameter	Details
1	Product ID	Provide the Product Code for which the data is available in the Sandbox Schema that you want to execute.
2	Country ID	Provide the Country or Region Code for which the data is available in the Sandbox Schema that you want to execute.
3	Mis Date	Provide the Country or Region Code for which the data is available in the Sandbox Schema that you want to execute.
4	Plot Account	Provide the Account Name for Plot the Graph.

Note:

Global Variable output_save_batch_size: For performance improvement, as part of the OOB Model, 3000 output rows can be inserted at once. Users can modify the Global Variable output save batch size based on data and traffic between servers.

max_dummies: Customization is provided for the characteristic independent variables. If many values are available in any characteristic variable, then that will suppress the effect of other variables and the model will not get trained properly. Hence, to avoid this, additional customization is provided in terms of limiting the number of values in a given characteristic variable by considering their frequency. For example, let us assume that the Collateral Type contains many unique values. Hence, the model will select the highest top 2 frequency of unique values and keep the remaining values as others. If a user needs to change this as per their requirement then they can do the same by doing trivial changes in the Python code.

Code: Global Variable "max_dummies = 3"