Chapter 3:
In the data understanding section of the report, you will have to describe the actual datasets, focusing more on the variables that you will be using for the model, as well as the data transformation and cleaning techniques.
Chapter 4:
The modelling techniques you have chosen are suitable for classification projects. However, the techniques to be chosen will still depend on your actual datasets. As discussed, you should not restrict yourself to a single type of decision tree, as there might be a more suitable technique than CART, depending on data.
The four model: ANN, discriminant analysis, decision tree and logistic regression. Don’t need do all 4, just 3 can already.
this was what i submitted
What need to be done:
1. Linkage of lit review to proposed method
why you choose the proposed method
2. Data understand & preparation (Chapter 3)
describe the actual datasets, focusing more on the variables that you will be using for the model, as well as the data transformation and cleaning techniques.
3. Proposed method (use 3)
The modelling techniques you have chosen are suitable for classification projects. However, the techniques to be chosen will still depend on your actual datasets. As discussed, you should not restrict yourself to a single type of decision tree, as there might be a more suitable technique than CART, depending on data.
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