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Consider the data with categorical predictor x1 = {green or red} and numerical predictor x2 and the class variable y shown in the following table. The weights for a round of boosting are also shown in the table. Suppose the classifier built from this round of boosting assigns y = 1 for x2 < 0.45 and y = -1 for x2 > 0.45. Compute the coefficient α for this classifier in the adaboost algorithm.
how ant solve TSP
(a+b-c)*(e/f)-(g-h/i)
Explain Pure and impure interpreters In a pure interpreter, the source program is retained into the source form all throughout its interpretation. These arrangements incur subs
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I need the matlab basics for creating and configuring a neural network with 2 hidden layers
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