In this section, you will point out
whether it is a clustering problem or classification problem,
what is the data mining algorithm you will adopt to analyse your data, what are
the steps of the adopted algorithm and what are its advantages and
disadvantages,
what is the counterpart algorithm that maybe an alternative choice to analyse
your data.
F. Evaluation and demonstration (800-1000 words)
what is the difference between your adopted algorithm and the counterpart
algorithm, you may use performance evaluation skills learnt in Practical 6 to
compare them. And you must demonstrate (i.e., show result accuracies as
evidence) why one is better than another
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