tor When we print the generated KNN model, the output is as follows: KNN_fit k-Nearest Neighbors 600 samples 3 predictor 2 classes: '0', '1' No pre-processing Resampling: Cross-Validated (8 fold) Summary of sample sizes: 526, 525, 524, 526, 524, 525, Resampling results across tuning parameters: k Accuracy Kappa 1 0.8815908 0.7545221 2 0.8816566 0.7553316 3 0.9166809 0.8296217 ons 4 0.9149478 0.8256724 5 0.9182587 0.8323792 6 0.9149698 0.8251167 7 0.9216590 0.8388672 8 0.9150142 0.8252238 9 0.9200142 0.8355911 10 0.9217034 0.8394129 11 0.9216809 0.8390994 12 0.9200367 0.8357038 13 0.9183476 0.8321192 14 0.9149472 0.8251437 15 0.9116809 0.8177950 What are the optimal k and the corresponding misclassification rate? O 10 and 0.9217034 07 and 0.921659 10 and 0.0782966 O7 and 0.078341