Question: KNN. Consider the following one-dimensional dataset. Each example is described by one numerical feature x and has a discrete label y{,+} Consider x[0,12]. What is

 KNN. Consider the following one-dimensional dataset. Each example is described by

KNN. Consider the following one-dimensional dataset. Each example is described by one numerical feature x and has a discrete label y{,+} Consider x[0,12]. What is the output of a 1-NN (nearest neighbor classifier)? Provide ALL the intervals in [0, 12] labeled 1 . For example, [6,7] is labeled +. In case of ties, choose the point on the left. Show all your steps. om the question above, with your out, create a confusion matrix and calculate True Positives (TP), False Positives (FP), ue Negatives (TN), False Negatives (FN), Accuracy, Precision, Recall, and Specificity. Show all your steps. Erom first question, what is the output of a 5-NN (nearest neighbor classifier)? Calculate Accuracy and compare it with the accuracy of 1-NN. Which one is more accurate? Show all your steps

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