When using a KNN approach, with K=3, the Euclidean distance from the point of origin determines the classification of a data-point. The following are classifications on test and training data:...

Extracted text: When using a KNN approach, with K=3, the Euclidean distance from the point of origin determines the classification of a data-point. The following are classifications on test and training data: Training Data Classification (1,2) (2,3) (-2,0) (1,0) Y Y Test Data Classification (2,2) (2,1) Which of the following statements is true? a. The training error rate is 0%, and the test error rate is 50%. b. The training error rate is 25%, and the test error rate is 50%. c. The training error rate is 25%, and the test error rate is 0%. d. The training error rate is 50%, and the test error rate is 100%. e. The training error rate is 50%, and the test error rate is 0%.