Configuring advanced settings for your ML solutions
Learn about advanced settings for your Predictive Intelligence machine learning (ML) solutions. Apply optional technology and algorithms for classification, similarity, and clustering capabilities.
Configuring advanced settings on your ML solutions is optional. If you choose to configure any of these settings, make sure you're well informed regarding the technology you're enabling in the solution, and that your use case benefits from what the technology offers. For more information about several of these parameters, see the Dive deeper with Clustering Advanced Parameters article on ServiceNow Community.
Classification, similarity, and clustering advanced settings
Using the admin or ml_admin role, you apply these technologies by configuring a parameter in the Advanced Solution Settings tab on your ML solution definition form. These settings offer functionality that is targeted to specific use cases.
- Configure class recall for a classification solution
- Configure TF-IDF for solutions
- Configure DBSCAN for a clustering solution
- Configure HDBSCAN for a clustering solution
- Configure XGBoost for classification or regression solutions
- Configure Connect Component algorithm and Levenshtein Distance method for a clustering solution
- Apply purity on a clustering solution
- Analyze a cluster with a data source