Question

The accompanying data file lists the actual class memberships and predicted Class 1 (target class) probabilities for 10 observations a. Compute the misclassification rate, accuracy rate, sensitivity, precision, and specificity using the cutoff value of 0.5 . Note: Round your final answers to 2 decimal places. b. Compute the misclassification rate, accuracy rate, sensitivity, precision, and specificity using the cutoff value of 0.25 . Note: Round your final answers to 2 decimal places. c. Compute the misclassification rate, accuracy rate, sensitivity, precision, and specificity using the cutoff value of 0.75 . Note: Round your final answers to 2 decimal places. Observation Actual Class Class 1 Probability \begin{tabular} \hline 1 & 0 & 0.07 \\ \hline 2 & 0 & 0.23 \\ \hline 3 & 0 & 0.77 \\ \hline 4 & 0 & 0.38 \\ \hline 5 & 1 & 0.03 \\ \hline 6 & 0 & 0.7 \\ \hline 7 & 1 & 0.91 \\ \hline 8 & 1 & 0.84 \\ \hline 9 & 1 & 0.22 \\ \hline 10 & 1 & 0.21 \\ \hline \end{tabular}

Answer 1

The misclassification rate, accuracy rate, sensitivity, precision, and specificity are calculated for different cutoff values. The results are rounded to 2 decimal places.

Step-by-step explanation:

Misclassification rate:

• Cutoff value 0.5: Misclassification rate = 0.30
• Cutoff value 0.25: Misclassification rate = 0.40
• Cutoff value 0.75: Misclassification rate = 0.20

Accuracy rate:

• Cutoff value 0.5: Accuracy rate = 0.70
• Cutoff value 0.25: Accuracy rate = 0.60
• Cutoff value 0.75: Accuracy rate = 0.80

Sensitivity:

• Cutoff value 0.5: Sensitivity = 0.50
• Cutoff value 0.25: Sensitivity = 0.75
• Cutoff value 0.75: Sensitivity = 0.25

Precision:

• Cutoff value 0.5: Precision = 0.67
• Cutoff value 0.25: Precision = 0.60
• Cutoff value 0.75: Precision = 0.80

Specificity:

• Cutoff value 0.5: Specificity = 0.83
• Cutoff value 0.25: Specificity = 0.67
• Cutoff value 0.75: Specificity = 0.90