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Let us have the training dataset consisting of 3 data points ( with coordinates on the XoY plane in the form of ( x ,

Let us have the training dataset consisting of 3 data points (with coordinates on the XoY plane in the form of (x,y)): (-2,0),(0,2), and (2,0). Predict the Y value for the input with: X =1.9 for the 1-NN Regression method with Manhattan (or l1) metric.
Note: input features are 1-dimensional (x-coordinate), while output label is y-coordinate on the XoY plane.

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