1. R code (group-based, 25%)
a. Working code (run without error; 15%)
b. Results consistent with the report (5%)
c. Style (self-contained project, appropriate comments, easy-to-read coding style; 5%)
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2. Report (group-based, 50%)
a. Technical soundness and correctness (data preprocessing, visualization, modeling, evaluation; 15%)
b. Contents (interpretation and discussion of the findings; 20%)
c. Writing quality (correct grammar, avoid typo, clear expressions, the logic of arguments; 15%)
The goal of this task is to predict the category of the houses in London city.
squareMeters
numberOfRooms
floors – number of floors
cityCode – zip code
cityPartRange – the higher the range, the more exclusive the neighbourhood is
numPrevOwners – number of prevoious owners
made – year
isNewBuilt
hasStormProtector
basement – basement square meters
attic – attic square meteres
garage – garage size
hasStorageRoom
hasGuestRoom – number of guest rooms
category – Luxury or Basic
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