The table below provides a training data set containing six observations, three pre- dictors, and one qualitative response variable ( Y = color "Blue" or color "Red"). Obs. 1 2 3 4 5 6 Y Blue Blue Red Red Blue X1 X2 X3 1 2 -1 1 0 3 0 3 0 0 2 -1 2 0 -1 1 4 1 Red Suppose we wish to use K-nearest neighbors to work with this data set. (a) Use K = 1 to predict the color (either "Blue" or "Red"), using the K-nearest neighbor predictions of color for each of the training observations. What is the average misclassification training error?

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Temporal difference learning

Temporal difference learning (TD learning) is a concept in machine learning that attributes to a class of model-free reinforcement learning methods. The technique predicts a reward or quantity depending on the future values of the value function.