Actual Class |
|||
C1 |
C2 |
||
Predicted Class |
C1 |
20 |
230 |
C2 |
3 |
1017 |
Cost of classifying a responder as a non-responder: |
|
Cost of classifying a non-responder as a responder: |
|
Average misclassification costs: |
PLEASE SHOW ME THE CALCULATION STEPS
Confusion matrix given
Actual Class | |||
C1 | C2 | ||
Predicted Class | C1 | 20 | 230 |
C2 | 3 | 1017 |
As per confusion matrix below,
Actual Class | |||
Predicted Class |
C1- responder | C2- non-responder | |
C1- responder | TP | FP | |
C2- non-responder | FN | TN |
Where
We will now look at creating cost matrix using the details given in the problem.
Cost matrix is similar to the confusion matrix except the fact that we are calculating the cost of wrong prediction or right prediction.
Cost Matrix | Cost (i | j) | Actual Class | |
C1 | C2 | ||
Predicted Class | C1 | Cost (C1 | C1) | Cost (C1 | C2) |
C2 | Cost (C2 | C1) | Cost (C2 | C2) |
where Cost (i | j) is cost of misclassifying class j example as class i
Cost (C2 | C1) is the cost of misclassifying responder as non-responder
Cost (C1 | C2) is the cost of misclassifying non-responder as responder
Cost of promotional mail = $3
Cost of printing and delivering - $80
Customers pays- $120
Profit from each magazine = $120 - $80 = $40
Cost (C1 | C1) = $40 - $3 = $37
Cost (C2 | C2) = 0
Cost (C1 | C2) - If we send promotional mailers thinking that these customers are respondents but in actual they do not respond, then the cost of this misclassification is cost of sending promotional mail i.e. $3.
Cost (C2 | C1) - In this scenario, customer are predicted as non-respondents but in actual they are respondents. There is an opportunity cost or loss of $40 (due to profit loss) of this misclassification.
Cost Matrix | Cost (i | j) | Actual Class | |
C1 | C2 | ||
Predicted Class | C1 | $37 | - $3 |
C2 | - $40 | $0 |
Hence, now for calculating cost we will multiply values from confusion matrix and cost matrix
Cost of classifying a responder as a non-responder = $40* 3 = - $120
Cost of classifying a non-responder as a responder = $3 *230 = - $690
Cost of classifying responder as a responder = $37 * 20 = $740
Cost of classifying non-responder as a non-responder = $0 * 1017 = $0
Total Cost = - 120 - 690 + 740 + 0 = - $70
Average misclassification cost = Total Cost/ Total Sample = $70 / (20 + 230 +3 + 1017) = 0.055
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