These FAQs cover questions commonly asked about Logical Glue, data and models.
Do I need to be a data scientist to use Logical Glue?
No! While experienced data scientists are able to utilise a set of advanced options related to encoding, model building, etc. the platform is designed to be used straight out of the box and can build accurate models without having to change any options or understand machine learning techniques.
What do I need in order to build a model?
Data – containing information about the things you are trying to predict, as well the outcome class that each of your data points belong to, e.g. creditworthy or uncreditworthy.
Why is Logical Glue different?
As well as ease of use and speed of deployment, Logical Glue’s main differentiator is its patented XAI approach, allowing you to see the why behind predictive decisions.
How do I use my model?
The Logical Glue platform allows you to present models in a business-friendly manner, so you can assess how predictive a model is and identify particularly risky or safe segments, including the reasoning behind those predictions. Any models built within the platform can then be deployed to the cloud, meaning that they can be called in real-time via an API.