Cancellation Analysis
Information
Analyze cancellations in booking and tickets. Identify important features that affect the cancellations.
Examples: include but are not limited to identify importance characteristics/features that are determine the decision of an individual to cancel.
Data format: The first column of your data must contain the Cancellation status (0: no Cancellation, 1: Cancellation) and the following columns the values of the recorded responses/variables/features.