Exhibit 9-1. The confusion matrix for a classification method with Class 0 and Class 1 is...
Exhibit 9-1. The confusion matrix for a classification method with Class 0 and Class 1 is given below.
Refer to Exhibit 9-1. What is Sensitivity value?
| a. |
0.91 |
|
| b. |
0.80 |
|
| c. |
0.83 |
|
| d. |
0.89 |
Homework Answers
Exhibit 9-1. The confusion matrix for a classification method with Class 0 and Class 1 is given below. Refer to Exhibit 9-1. What is Sensitivity value? a. 0.91 b. 0.80 c. 0.83 d. 0.89
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Exhibit 9-1. The confusion matrix for a
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1. Given a binary classification problem (Class-1 or Class-0), draw a Confusion Matrix showing result counts (fx) in terms of Predicted and Actual class. Provide calculations for Accuracy and Error Rate, highlighting False Positives (FP) and False Negatives (FN).
Table Q4 shows a confusion matrix for a character recognition problem attempting to classify characters from 'A' to 'G'. Altogether, there are 700 feature vectors used to represent 700 alphabets. 'R' indicates 'reject' class. From the confusion matrix, i. how many input labeled as 'B' which are misclassified as 'D'? ii. which input alphabet produce the most classification error? ii. calculate the error rates for all the inputs. iv. compute the reject rate for the classifier. v. calculate the overall...
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Exhibit 9-3 n = 49 Ho: u = 50 X54.8 Hu#50 o= 14 Refer to Exhibit 9-3. Part 1: If the test is done at a 5% level of significance, the null hypothesis should not be rejected а. b. be rejected C. Not enough information is given to answer this question. d. None of the answers is correct. Part 2:The p-value is equal to a. .0164 b. .3849 . .2698 d. 2302 Part 3: The test statistic equals
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