Provide details on the methodology applied towards the data mining analysis undertaken, providing rationale for these steps.
data mining
Description
Methodology
Provide details on the methodology applied towards the data
mining analysis undertaken, providing rationale for these steps.
This should detail how you went from the raw data provided
to the chosen model(s), choice of model, and how this methodology helps address
the problem domain.
Evidence to support the following of this methodology should
be presented, especially any cases which required moving backwards in the
process to readdress issues.
Results
Results should include tables showing model performance with
appropriately selected metrics. No rationale should be provided for this
section - simply results of evaluative processes.
If using modified variants of the dataset, these should be
clearly identified in the tables with appropriate naming. The justification and
description of modification is not for this section.
Additional figures may be used as appropriate, in support of
discussion points in the Evaluation & Discussion section, or as evidence
for methodology following above.
Evaluation & Discussion
Evaluation methodology used for generating the results
provided in the previous section. How were these evaluated? Why was this
selected? What metrics were used and why?
Discussion of the results should be presented with
appropriate evidence and rationale. E.g Which is the best model, and why?
Consider each stage in the methodology, and reflect on any
improvements which could have been made. Could any techniques have been used
which may have improved performance? Why?
References
Any references used throughout the report should be included
here in Hull Harvard Style. If no references used, remove this section.
