The demo creates a random forest regression model, evaluates the model accuracy on the training and test data, and then uses the model to predict the target y value for x = [-0.1660, 0.4406, -0.9998, ...

Therefore, random forest regression is a very effective method for health insurance prediction. The next model is the linear regression model with a model score of 0.7584.

Figure 1: Random Forest Regression Using C# in Action The maxDepth parameter specifies the number of levels of each decision tree. If maxDepth = 1, a decision tree has three nodes: a root node, a left ...