Project Status Update #10

Following the previous week’s feature-engineering success, the dataset was ready for analysis and machine-learning model development. Scripting occurred to setup four models using the Linear Regression, Decision Tree Classification, Random Forest Classification and Support Vector Machine algorithms. Each was independently tested, and metrics were produced for each, including the models’ accuracy, precision, recall and aggregated F1-score. Visualisations were also produced.

Writing for the assignment is ongoing, and a first draft totalling over 4,500 words, has been completed. As such, subsequent revisions will take place to further refine and reduce the word count. Over the next week these revisions will take place followed by formatting to the IEEE format as well as beginning to create the script outline to be used for the seminar presentation.