i. Compare the classification accuracy from the first neural network run to your final second run. Which has a higher classification accuracy? Provide a one-paragraph, masters-level response that provides reasonable justification for why one is higher than the other. The demonstration of your analysis and depth of understanding are being evaluated above simple right or wrong answers.
ii. What is the classification accuracy for the new neural network you just built? Provide the complete formula used (i.e. show your work) along with the final percentage (rounded to two decimals places).
b. Neural Network - Evaluate the Model:
i. Run the two-step model evaluation process from the tutorial providing those two commands and the command to display the first 10 values from the variable ‘mypredict' that you create. Include all three commands and the output screenshot.
ii. Run the table command to build the confusion matrix using ‘mypredict' as the first argument and the Vertebral Column dataset dependent variable as the second. Include the command, output screenshot of your matrix, and answer the following question:
What is the classification accuracy of your neural network? Provide the complete formula used (i.e. show your work) along with the final percentage (rounded to two decimals places)
Format your assignment according to the following formatting requirements:
1. The answer should be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides.
2. The response also includes a cover page containing the title of the assignment, the student's name, the course title, and the date. The cover page is not included in the required page length.
3. Also include a reference page. The Citations and references should follow APA format. The reference page is not included in the required page length.