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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.
Testing, Testing, Testing
What are the features common in most of the websites Following general features must be found on most web sites in one form or another (this list is by no means exhaustive):
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Question: (a) State possible Large Scale System Applications different from those mentioned in (c) which may have a component running in the Cyber City. (b) According to you
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