We deployed significant improvements to the private equity emissions machine learning emissions module:

• Sourced reported emissions for the top 100 private companies globally for testing

• Refactored tiered-approach giving better uncertainty limits based on data inputs

• Clear data quality hierarchy built within data pipeline

• Assessed private models using the independent emissions data for top 100 companies

• Missing data and financial imputation methods assessed