Predicting missed appointments
The following dataset has records on patients showing up for their appointments. There is also some lightweight medical data and appointment notification data. More information about the schema can be found here.
Given the following data can you create a Random Forest model to predict if a patient is a "no-show"? Can you also create a list of features sorted on their gini importance? You can read about gini importance here.
*The solution will include how to create a new training and testing set based on gini importance. *
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