Pass GPA Experience 11OCHON 3.20 11 3.75 15 0 3.65 3 3.30 4 3.64 12 3.16 5 3.01 11 ORTHOOOOHH 0 2.66 1 2.84 1 2.94 8 1 3.40 8 1 3.04 0 3.16 ° 3.45 0 2.73 4 0 2.52 7 1 3.88 1 2.76 0 2.71 8 1 3.99 2 1 3.06 9 1 3.31 0 2.77 0 3.59 4 0 3.18 1 3.21 1 3.50 1 2.98 1 3.76 OOHOOOHOONHOOL 2.64 3.02 3 1 3.00 9 2.66 1 2.99 1 2.94 8 1 3.20 7 ° 3.04 0 3.16 1 3.80 0 3.21 2.52 3 1 3.80 1 3.75 3.05 0 2.70 4 ∞ ∞ AF + 5 = ∞ - 6 m m 3 + 1 17 15 13 15 18 17 17 4 9 8 11 14 12 11 4 17 11 3 18 5 11 12 1 3.89 15 Experience GPA 2.97 3.80 3.20 2.98 2.70 12 3.11 2.94 8 3.30 2.68 15 3.45 7 237227052 10
For R, partition the data sets into 60% training and 40% validation and implement the 10-fold cross-validation. Use the statement set.seed(1) to specify the random seed for data partitioning and cross-validation. When searching for the optimal value of k, search within possible k values from 1 to 10. If the predictor variable values are in the character format, then treat the predictor variable as a categorical variable. Otherwise, treat the predictor variable as a numerical variable.
The Chartered Financial Analyst (CFA) designation is the de facto professional certification for the financial industry. Employers encourage their prospective employees to complete the CFA exam. Daniella Campos, an HR manager at SolidRock Investment, is reviewing 10 job applications. Given the low pass rate for CFA Level 1, Daniella wants to know whether or not the 10 prospective employees will be able to pass the CFA Level 1 exam. Historically, the pass rate is higher for those with work experience and a good GPA in college. With this insight, she compiles the accompanying data file with information on 63 current employees who took the CFA Level I exam last year, including the employee’s success on the exam (1 for pass, 0 for fail), the employee’s college GPA, and years of work experience.
a. Perform KNN analysis to estimate a classification model for the CFA Level 1 exam using the second image attached and score the 10 job applicants in the first image attached . What are the misclassification rates for k = 3, 4, and 5?
Note: Round your answers to 4 decimal places.
b-1. What is the optimal value of k?
b-2. Report the overall accuracy, specificity, sensitivity, and precision rates for the validation data set.
Note: Round your answers to 2 decimal places.
b-3. Which of the following statements is most accurate?
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A. The KNN model is likely to classify 100% of the employees into the correct classes.
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B. The KNN model is likely to classify 100% of the employees who passed the CFA exam correctly.
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C. The KNN model is likely to classify 79% of the employees who did not pass the CFA exam correctly.
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D. The KNN model is likely to classify 88% of the employees into the correct classes.
c. Score the new consumer records in the CFA_Score worksheet. What is the predicted CFA Level 1 outcome for the first job applicant?
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