I would like to start off by saying well done! This project was very well executed and the results were displayed in a very professional matter. To start, I love the fact that the report was organized and that the section headings were very clearly labelled and easy to identify. Including an abstract at the beginning of the report helps the reader to know exactly what your research question and expected goals are before they even are even introduced to the technical parts of the report.
The data description section was very detailed and I thought the example provided for the one hot encoding was very useful in understanding the setup of your features. I also thought that the section on imbalanced data was of particular interest to me because I was not familiar with oversampling and under sampling techniques. The initial analysis section had too many visuals and not enough text in my opinion. I think here you could have chosen two of the most interesting visuals because the font size on the four you chose is quite small and you need to zoom in a lot to be able to really read them.
The models that you chose to include were very well developed and tested and I think the choice of error metrics and loss functions was appropriate for each respective model. Finally, the recommendations and fairness considerations were ethical and well-thought out.
Hi guys,
I would like to start off by saying well done! This project was very well executed and the results were displayed in a very professional matter. To start, I love the fact that the report was organized and that the section headings were very clearly labelled and easy to identify. Including an abstract at the beginning of the report helps the reader to know exactly what your research question and expected goals are before they even are even introduced to the technical parts of the report.
The data description section was very detailed and I thought the example provided for the one hot encoding was very useful in understanding the setup of your features. I also thought that the section on imbalanced data was of particular interest to me because I was not familiar with oversampling and under sampling techniques. The initial analysis section had too many visuals and not enough text in my opinion. I think here you could have chosen two of the most interesting visuals because the font size on the four you chose is quite small and you need to zoom in a lot to be able to really read them.
The models that you chose to include were very well developed and tested and I think the choice of error metrics and loss functions was appropriate for each respective model. Finally, the recommendations and fairness considerations were ethical and well-thought out.
Well done!