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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.
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Chaining: In this method, instead of hashing function value as location we use it as an index into an array of pointers. Every pointer access a chain that holds the element having
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What is the process to register as expert in computer science
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