How Can We Help?
See how ML can help in Proactive Risk Identification enabling predictive analysis to identify potential issues regarding unbalanced customer selection
- Compliance Testing – Fairness Assessment using R
- Preprocessing – Semantic tagging using the LSEG-PermID (Open Calais) service
- Step1 – Load data and libraries
- Step 2 – Perform Principal Component Analysis (PCA) and evaluate clustering potential
- Step 3 – Perform K-means on a factor scores sub-space at evaluate performance with a minimum number of clusters
- Step 4 – Display retained clusters statistics
- Step5 – Evaluate fairness of Basing Hall-BIC selection process
