Assignment Task:
Classification (Individual) AirbnbAI approached you to develop a RapidMiner process of determining if the New York City rental accommodation is viable economically, i.e. when getting more than one review per month:
? The number of reviews per month (n)
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Get Help Now!? Economic viability ≡ n > 1 (this is what we want to predict) AirbnbAI provided you with a sample of 49,000 listings of rentals, 20% of which have not received any reviews as yet. The listings include the following information:
? Property id, name, type, price
? Id and name of the property host
? Property geo-location and its neighbourhood classification
? How many nights a dwelling is rented per year
? Minimum nights stay
? How many rooms are being rented in a building
? The number of occupants allowed in a rental
? Whether the listing is licensed or not AirbnbAI would like you to use RapidMiner to generate some insights into the rental listings and these questions are of interests:
A) What neighborhoods have the most attractive AirBnB rentals?
B) What kind of rentals attract the majority of reviews?
C) Which of the rentals that have no reviews are likely economically viable? AirbnbAI wants you to use RapidMiner to cleanup and explore the provided data, then develop and evaluate a classifier to predict the rentals’ long-term viability, and to minimise mis-classifications.
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