Question 2: Given the following dataset: ID 1. 2. 3. 4. 5. 6. 7. Age '40-49...

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Question 2: Given the following dataset: ID 1. 2. 3. 4. 5. 6. 7. Age '40-49 '50-59 '50-59 40-49 '40-49 '50-59 '50-59 8. 9. '40-49 10. '40-49 11. '50-59 12. '60-69 13. '50-59 14. '50-59 40-49 15. 16. '30-39 17. '50-59 18. '60-69 Menopause Tumor- size '15-19' 'premeno' 'ge40' 'ge40 'premeno' 'premeno' 'ge40' 'premeno' '15-19 '35-39 'premeno' '35-39 '0-2' ''premeno' '30-34" '3-5' 'premeno' '25-29' '3-5' red 40-44 '0-2' '10-14" '0-2' 0-4" '0-2' 'ge40 'ge40 'ge40 'premeno' 'premeno' '20-24" 'premeno' 'ge40' '10-14" '15-19 '40-44' '20-24" 'premeno' 19. '50-59 20. '50-59 'ge40' '40-44" '25-29' '15-19' '30-34" '25-29 nodes 'It40' '0-2' '0-2' '0-2' '0-2' '3-5' '0-2' '0-2' '0-2' 21. '50-59 '20-24" '0-2' '40-44 '3-5' '15-19' '0-2' 22. '60-169' 'ge40' 23. '50-59 'ge40' 24. '40-49 25. 30-39 '0-2' 'premeno' '10-14" 'premeno' '15-19' '6-8' 26. '50-59 'ge40 '20-24" '3-5' 27. '50-59 'ge40' '10-14" '0-2' 28. '40-49 'premeno' '10-14" '0-2' Node. degree-of- Breast malignance caps 'yes' 'no' 'no' 'yes' 'yes' 'no' 'no' 'no' '15-17' 'yes' '0-2' 'no' '0-2' 'no' '0-2' '0-2' 'no' '2' '2' '2' '2' '2' '1' 'no' '2' 'no' 2 2 2 2 2 'no' nan 'no' 'no' 'no' 'yes' '3" '1' '2' 'no' '3" '2' '2' '3' 'no' '3' '1' '2' '2' '3" 1 lng L lng n i i ng '1' '2' '2' '1' 'yes' '2" '3' Breast- 'no' quad 'right' "left_up' 'right' "central" 'no' '"left' "left_low' 'no' 'right' "left_low' 'yes' 'left' "right_up' 'no' 'right' "left_up' 'left' "left_up' 'left' "left_up' 'no' "right_low' 'no' "left_up' 'yes' "left_low' 'no' 'right' '"left_up' 'no' 'no' 'no' 'right' 'right' 'left' 'right' "central" 'right' "left_up' '2' Irradiation 'yes' 'no' 'left' "central' 'no' 'right' "left_up' 'no' 'right' "left_up' 'no' 'left' "left_up' 'no' 'left' "left_up' 'no' 'left' "left_low' 'no' 'right' "left_up' 'yes' 'right' "left_low' 'no' 'right' "left_up' 'no' 'left' "left_low' 'right' "left_up' 'right' "left_low' 'no' 'right' "left_up' 'no' 'no' Reccurence 'recurrence-events" 'no-recurrence-events" 'recurrence-events 'no-recurrence-events" 'recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'recurrence-events" 'no-recurrence-events' 'no-recurrence-events" 'no-recurrence-events" 'recurrence-events" 'no-recurrence-events" 'no-recurrence-events" The dataset contains data on patients who have breast cancer. It records their age, whether they have gone through menopause, how big their tumor is, how many nodes they have, whether their node-caps are positive or negative, how malignant their tumor is, which breast is affected, which quadrant of the breast is affected, whether they have received irradiation treatment, and whether their cancer has recurred. 1. Provide a description of this data set. 2. Provide a brief statistical description of each feature. 3. We would like to use this dataset to predict the risk of recurrence in a new patient based on this data. Formulate the problem and explain how it can be solved. 4. Identify the issues in this data set. 5. List and explain the tasks that should be performed on this data set prior to its use for the prediction task. Question 2: Given the following dataset: ID 1. 2. 3. 4. 5. 6. 7. Age '40-49 '50-59 '50-59 40-49 '40-49 '50-59 '50-59 8. 9. '40-49 10. '40-49 11. '50-59 12. '60-69 13. '50-59 14. '50-59 40-49 15. 16. '30-39 17. '50-59 18. '60-69 Menopause Tumor- size '15-19' 'premeno' 'ge40' 'ge40 'premeno' 'premeno' 'ge40' 'premeno' '15-19 '35-39 'premeno' '35-39 '0-2' ''premeno' '30-34" '3-5' 'premeno' '25-29' '3-5' red 40-44 '0-2' '10-14" '0-2' 0-4" '0-2' 'ge40 'ge40 'ge40 'premeno' 'premeno' '20-24" 'premeno' 'ge40' '10-14" '15-19 '40-44' '20-24" 'premeno' 19. '50-59 20. '50-59 'ge40' '40-44" '25-29' '15-19' '30-34" '25-29 nodes 'It40' '0-2' '0-2' '0-2' '0-2' '3-5' '0-2' '0-2' '0-2' 21. '50-59 '20-24" '0-2' '40-44 '3-5' '15-19' '0-2' 22. '60-169' 'ge40' 23. '50-59 'ge40' 24. '40-49 25. 30-39 '0-2' 'premeno' '10-14" 'premeno' '15-19' '6-8' 26. '50-59 'ge40 '20-24" '3-5' 27. '50-59 'ge40' '10-14" '0-2' 28. '40-49 'premeno' '10-14" '0-2' Node. degree-of- Breast malignance caps 'yes' 'no' 'no' 'yes' 'yes' 'no' 'no' 'no' '15-17' 'yes' '0-2' 'no' '0-2' 'no' '0-2' '0-2' 'no' '2' '2' '2' '2' '2' '1' 'no' '2' 'no' 2 2 2 2 2 'no' nan 'no' 'no' 'no' 'yes' '3" '1' '2' 'no' '3" '2' '2' '3' 'no' '3' '1' '2' '2' '3" 1 lng L lng n i i ng '1' '2' '2' '1' 'yes' '2" '3' Breast- 'no' quad 'right' "left_up' 'right' "central" 'no' '"left' "left_low' 'no' 'right' "left_low' 'yes' 'left' "right_up' 'no' 'right' "left_up' 'left' "left_up' 'left' "left_up' 'no' "right_low' 'no' "left_up' 'yes' "left_low' 'no' 'right' '"left_up' 'no' 'no' 'no' 'right' 'right' 'left' 'right' "central" 'right' "left_up' '2' Irradiation 'yes' 'no' 'left' "central' 'no' 'right' "left_up' 'no' 'right' "left_up' 'no' 'left' "left_up' 'no' 'left' "left_up' 'no' 'left' "left_low' 'no' 'right' "left_up' 'yes' 'right' "left_low' 'no' 'right' "left_up' 'no' 'left' "left_low' 'right' "left_up' 'right' "left_low' 'no' 'right' "left_up' 'no' 'no' Reccurence 'recurrence-events" 'no-recurrence-events" 'recurrence-events 'no-recurrence-events" 'recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'no-recurrence-events" 'recurrence-events" 'no-recurrence-events' 'no-recurrence-events" 'no-recurrence-events" 'recurrence-events" 'no-recurrence-events" 'no-recurrence-events" The dataset contains data on patients who have breast cancer. It records their age, whether they have gone through menopause, how big their tumor is, how many nodes they have, whether their node-caps are positive or negative, how malignant their tumor is, which breast is affected, which quadrant of the breast is affected, whether they have received irradiation treatment, and whether their cancer has recurred. 1. Provide a description of this data set. 2. Provide a brief statistical description of each feature. 3. We would like to use this dataset to predict the risk of recurrence in a new patient based on this data. Formulate the problem and explain how it can be solved. 4. Identify the issues in this data set. 5. List and explain the tasks that should be performed on this data set prior to its use for the prediction task.

Answer rating: 100% (QA)

The dataset contains information about breast cancer patients including their age menopausal status tumor size number of nodes node caps status malign... View the full answer