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Prediction of hotel booking cancellations (cancelled vs. not cancelled). The identified model reaches an accuracy of 87% and helps hotels maximizing their revenues through optimal occupancy.

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ErikFub/Hotel-Booking-ML

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Hotel-Booking-ML

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Prediction of hotel booking cancellations (cancelled vs. not cancelled). The identified model reaches an accuracy of 87% and helps hotels maximizing their revenues through optimal occupancy.

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