The Feature Distribution shows the main industry variables and the distribution of their impact on financial strength. The more important a variable, the broader the distribution. As the effects are calculated relative to the industry average, half of the companies have a positive effect (green) and half have a negative effect (red).

The Regression Plot compares the forecasted company valuation with the observed stock market values. A positive correlation suggests that the model effectively explains market prices.

The Feature Importance Graph highlights the most important industry features for the industry. These variables have the greatest impact on financial health, shown as the last variable at the bottom of the causal graph.