5.6.7.3 Annual Model Validation

1. This is a pre-seeded batch and will be available in all workspaces ( production & sandboxes )
2. This Batch is to be executed in the Production workspace.
3. This Batch shows ongoing model performance annually.

Batch and Task Parameters

The batch contains a single task named Annual_Model_Validation

Figure 5-96 Define Task for Annual Model Validation

Description of "Figure 5-96 Define Task for Annual Model Validation"

Task: Annual_Model_Validation, Task Parameters

• Objective folder for Data Quality:

  Home / Modeling / Pipelines / AIF Batch Framework / Supervised ML / Ongoing Model Validation / Annual

• Do not change any parameter, except Optional Parameters.
• Optional Parameters:
  • model_group_name: Name of the Model Groups for which Model has been trained. Example LOB1
  • model_group_scenario_name: Name of the Model Groups Scenario for which Model has been trained. Example Cash
  • osot_end_month: Specify the data month in YYYYMM format. If not specified by default latest month data available in the table will be picked up for monthly validations as scoring data / new data.
• Example: model_group_name=LOB1,model_group_scenario_name=None,osot_end_month=None
• Optional Parameters can be edited from the Schedule Batch option.
• Do not change any batch/task parameters, except Optional Parameters.

  Figure 5-97 Define Task for Annual Model Validation

  
  

  
  Description of "Figure 5-97 Define Task for Annual Model Validation"