Abstract:
Undergraduates need a laptop computer for their academic program. Most of
the students tend to buy a laptop/computer for their higher studies as it
becomes an essential device for the education. However, when buying these
devices, they do not have a good knowledge of its specifications and then the
students have to upgrade the devices in the middle of their academic programs
as these devices do not fit with their needs. The present study attempts to
investigate the specification of a computer for students who await university
entrance according to their department. It is expected that this will help the
student to buy a computer which can be used throughout their university life
This is because, the specifications and performances of laptops/computers
change according to the academic stream the students get selected. The most
suitable model for this research is random forest classifier as it shows the
highest accuracy level (84%) among other supervised learning techniques and
a dataset with more than 800 samples was separated into two-parts called test
set and training set. 20% of data was taken as test data set and other data was
considered as the training set because then performance of the model can be
enhanced. This research is to predict the specification of a computer for
university selected students according to their degree in technology stream.