Tag: model interpretability

Advanced Analytics | Machine Learning
Austin Cook 0
Monotonic Constraints with SAS

A monotonic relationship exists when a model’s output increases or stays constant in step with an increase in your model’s inputs. Relationships can be monotonically increasing or decreasing with the distinction based on which direction the input and output travel. A common example is in credit risk where you would expect someone’s risk score to increase with the amount of debt they have relative to their income.

Advanced Analytics | Artificial Intelligence | Machine Learning
Ilknur Kaynar Kabul 0
Interpret model predictions with partial dependence and individual conditional expectation plots

We have updated our software for improved interpretability since this post was written. For the latest on this topic, read our new series on model-agnostic interpretability.  Assessing a model`s accuracy usually is not enough for a data scientist who wants to know more about how a model is working. Often

Advanced Analytics | Artificial Intelligence | Machine Learning
Ilknur Kaynar Kabul 0
Interpretability is crucial for trusting AI and machine learning

We have updated our software for improved interpretability since this post was written. For the latest on this topic, read our new series on model-agnostic interpretability.  As machine learning takes its place in many recent advances in science and technology, the interpretability of machine learning models grows in importance. We