Question: Table 2. 1-Nearest Neighbor Confusion Matrix for Handwritten Digit Classification recuracy: 2.M*+-0.14% (mikro: M.AX) true true true 2 true true true Tue predo 0 1

Table 2. 1-Nearest Neighbor Confusion Matrix for Handwritten Digit Classification recuracy: 2.M*+-0.14% (mikro: M.AX) true true true 2 true true true Tue predo 0 1 4 o 7 076 pred 1 400 2 3 2 2 7 . 2 pred 2 4 4 o 1 0 1 1 52% pred 3 1 2 3 0 10 . son 0 2 . 0 es 2 3 11 05.04 1 13 0 4 . 2 pred 2 3 1 8 40 . sos pred 2 1 10 3 pred 0 7 . 4 1592 pred 970 4209 204 92 00 95.00% 93 ON OON 950 SON das 20. Based on Table 2 above, how many times is an actual 3 mis-classified by the model as a 5? a 19 b. 8 c. 11 d. 13 Table 2. 1-Nearest Neighbor Confusion Matrix for Handwritten Digit Classification recuracy: 2.M*+-0.14% (mikro: M.AX) true true true 2 true true true Tue predo 0 1 4 o 7 076 pred 1 400 2 3 2 2 7 . 2 pred 2 4 4 o 1 0 1 1 52% pred 3 1 2 3 0 10 . son 0 2 . 0 es 2 3 11 05.04 1 13 0 4 . 2 pred 2 3 1 8 40 . sos pred 2 1 10 3 pred 0 7 . 4 1592 pred 970 4209 204 92 00 95.00% 93 ON OON 950 SON das 20. Based on Table 2 above, how many times is an actual 3 mis-classified by the model as a 5? a 19 b. 8 c. 11 d. 13

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