MIS8101 - Data Analysis Assignment Analysing Dataset Performance Evaluation

Assignment Task

Tasks:

1. Demonstrate four algorithmic variations of models that will predict with a high degree of accuracy and generalizability what the difference will be between the CCAO mailed and the CCAO certified results will be. Include the appropriate screenshots to verify each step. Provide a brief description for what was done at each step in the model development process. Compare each of the models and justify which is the best performing model and why.

2. Demonstrate four algorithmic variations of models that will predict with a high degree of accuracy and generalizability whether or not the CCAO adjustment indicator is true. Provide a brief description for what was done at each step in the model development process. Include the appropriate screenshots to verify each step. Compare each of the models and justify which is the best performing model and why. 

3. Re-run the models for part 1 using Auto-ML. Provide a chart that compares the results of Auto-ML versus the results you created in the previous questions. Explain what the results indicate.

4. Create a single deep learning model for question 1. Compare the results to the results you created in question 1, the results from AutoML in question 3 and the results from the deep learning model. Which results were the best? Which results can you fully explain? 

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