Classification Accuracy for New Neural Network

Classification Accuracy for New Neural Network

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Style:APA/MLA/Harvard/Chicago

Pages:5-10

Instructions:

Classification Accuracy for New Neural Network

1. 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.
2. 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).

Interpretation:

1. Neural Network – Evaluate the Model:
2. 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.

Commands: >

Output:

1. 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:

Commands: >

Output:

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)

Classification Accuracy for New Neural Network

RUBRIC
Excellent Quality 95-100%	Introduction 45-41 points The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.		Literature Support 91-84  points The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.			Methodology 58-53 points Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met.
Average Score 50-85%	40-38 points More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided.		83-76  points Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration.			52-49  points Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met.
Poor Quality 0-45%	37-1 points The background and/or significance are missing. No search history information is provided.		75-1 points Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration.			48-1 points There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met
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Classification Accuracy for New Neural Network

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