The project requires you to build machine learning models for your chosen dataset. You will need to perform pre-processing on your data. Follow the pre-processing steps outlined in the Scikit Learn lecture notes. You will need to build and comprehensively evaluate a range of machine learning models. The most promising models should then undergo hyper-parameter optimization.
You are also required to pick a specific topic to research and then incorporate the result of this research into your models and evaluate the impact. For example, if your dataset is imbalanced your research could focus on the techniques that are commonly used to address imbalance. You would then proceed to incorporate some of these into your evaluation and assess the impact on your results.
You should compose a research report detailing the work you have undertaken and the overall findings. You will find a template for the research paper in the assignment folder. This template adheres to the Springer paper specification and should be used for your report. The paper you submit should contain the following sections:
(i) Abstract
(ii) Introduction
(iii) Research
(iv) Methodology
(v) Evaluation
(vi) Conclusions and Future Work
I recommend that you do not exceed 8 pages for the research paper. I understand that some of you may have difficulty adhering to this limit. Please note that this is a recommended guideline, it is not a requirement and you will not be penalized if you exceed that page limit. More detail on each of these sections are provide below.
