MIS8101 Dataset Analysis and Modeling for Accurate Predictions Assessment Answer

Midterm

Instructions – Read Carefully

For this assignment you will be asked to provide an analysis of an existing dataset and develop a model to handle specific tasks. This is to be an individual project. It is highly improbable that any two students will get the same answers to any of the questions. While you may find guidance to some of the questions online, any copy and pasted answers will not be graded. You may look for technical assistance from other students but sharing answers will be considered cheating and will result in an automatic zero. You will be assuming the role of an analyst for this assignment. Unlike previous assignments that walked you through how to perform techniques it is up to you to determine the best methods to come to your answers. Also, realize you must justify your answers. In addition to written answers to these questions please prepare a powerpoint presentation. You will be asked to present your analysis and results to the entire class.

You can download the dataset from the following Google Drive link. Please note this a dataset similar to ones you may encounter in the real world. It has been reduced in size to be under 1GB but it still is a substantial amount of data that will require additional time to run queries. 

https://drive.google.com/file/d/1Pe0TdMaNY4X_5NNVMWWKrd8ellVP_OqP/view?usp=sharing

Finally, please note the data you have is for the year 2020. You will be scored on how well your model performs in predicting data from previous years that are not currently in the dataset. So please make sure your model is robust enough to handle other data with a high degree of accuracy.

Good luck.

Tasks

Create a model that attempts to predict what the difference will be between the CCAO Mailed Av and the CCAO certified AV results will be.

Create a model that attempts to predict what the difference will be between the CCAO Certified AV and the BOR certified results.

Create a model that will attempt to predict whether or not the CCAO adjustment indicator is true

Create a model that will attempt to predict whether or not the BOR adjustment indicator will be true

Create a model that will attempt to predict the Comm VGentIndex – 1970-2010

Instructions – read carefully

This is to be an individual project. It is highly improbable that any two students will get the same answers to any of the questions. While you may find guidance to some of the questions online, any copy and pasted answers will not be graded. Sharing answers will be considered cheating and will result in an automatic zero. You will be assuming the role of an analyst for this assignment. Unlike previous assignments that walked you through how to perform techniques it is up to you to determine the best methods to come to your answers.

Also, you must justify your answers. You must thoroughly explain anything you provide. Do not just throw out charts and graphs and expect me to interpret what you mean by them. Doing so will lose you points on the assignment.

For the assignment you can download the dataset from the following Google Drive link. Please note this a dataset similar to ones you may encounter in the real world. It has been reduced in size to be under 1GB but it still is a substantial amount of data that will require additional time to run queries. This is the same data as the midterm. Verify that no errors still exist.

https://drive.google.com/file/d/16vJCBDHo6sy0APldaE2FVGchw9NqnZ-H/view?usp=sharing

Finally, please note the data you have is for the year 2020. You will be scored on how well your model performs in predicting data from previous years that are not currently in the dataset. So please make sure your model is robust enough to handle other data with a high degree of accuracy.

Unless specified do not show an AutoML model. You can use AutoML to help you to baseline your performance but do not submit AutoML models as answers. You also may not use ChatGPT for analyzing the dataset. You may ask it for assistance with your code but do not provide answers generated by ChatGPT. For your results for each question provide results that include descriptions from each of the phases discussed in class. Use of ChatGPT models, or any other automated code generators will be automatically marked incorrect if detected.

Good luck.

Part 1:

Tasks:

• 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.
• 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. 

Part 2:

• 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.
• 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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