eliminating missing data in order to form a better result

Group2

Zhirong Xiang

RueiAn Chang

Xueling Xu

I ：For our data preprocessing, our group removed unnecessary attributes such as lead time, arrival week of the year.

Also, eliminating missing data in order to form a better result. Since the result is only going to be as good as the data itself. The reduction has been from 32 attributed cut down to 21 attributes. 

II: Hospitality Industry

First, we bin the data according to the hotel, the resort hotel and the city hotel. Then using filter to turn numeric attribute into nominal so that those attributes would be shown as yes and no answers. Such a

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