Table Q4 shows a confusion matrix for a character recognition problem attempting to classify characters from 'A'...
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 error rate A96 1 B' 0 970 0 93 0 97 0 0 98 0 0 2 96 0 0 970 Table Q4
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 error rate A96 1 B' 0 970 0 93 0 97 0 0 98 0 0 2 96 0 0 970 Table Q4