The downward sloping chart indicates Hands-on Machine Learning Model Interpretation. One of the best way to explain model prediction decisions to either a technical or a more business-oriented individual, is to examine individual data-point predictions.

A predictive model is a mapping from an input space to an output space. Interpretation algorithms are divided into those that offer statistics and metrics on regions of the domain, such as the marginal distribution of a feature, or the joint distribution of the entire training set