You are training a decision tree to classify individuals as likely or unlikely to seek medical care $($using labeled data with class $0$: "Did not visit doctor" or class $1$: "Visited doctor" in a year$).$ This model will be used to help improve outreach efforts to users who may not be getting the regular medical care they need.

In the fitted tree in the following image, the left branch of each node is where the condition described in the node is True; the right branch of each node is where the condition described in the node is False. In the "value" row in each node, the count of samples in each class $(0$ and $1)$ is displayed, and underneath that, the predicted class for that node.