Confusion Matrix, 4x4 Assigned Class A C Class of Origin A 0.58 0.14 0.15 0.13 В 0.02 0.74 0.20 0.04 0.06 0.18 0.70 0.06 D 0.03 0.04 0.07 0.86

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Please Answer the questions below with reference to the confusion matrix shown:

  • A test sample assigned to which class is the one we accept with highest confidence? Justify your answer please.
  • Suppose that you have a binary classifier for each pair of classes that has 95% accuracy. Which two classes would you target?
  • For (b), what is the final accuracy of the reduced (3x3) confusion matrix combined with a high-accuracy binary (95%) classifier for these two targeted classes? How does this compare to the original accuracy?
Confusion Matrix, 4x4
Assigned Class
A
C
Class of Origin
A
0.58
0.14
0.15
0.13
В
0.02
0.74
0.20
0.04
0.06
0.18
0.70
0.06
D
0.03
0.04
0.07
0.86
Transcribed Image Text:Confusion Matrix, 4x4 Assigned Class A C Class of Origin A 0.58 0.14 0.15 0.13 В 0.02 0.74 0.20 0.04 0.06 0.18 0.70 0.06 D 0.03 0.04 0.07 0.86
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