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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.
At the bottom of the toolbar there is a box with two lesser boxes and an arrow. The uppermost box displays the present foreground color; the lowermost box shows the present backgro
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what is process management ?
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