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In a model that predicts mortgage default rates, the input vector might contain values for credit score, number of credit card accounts, frequency of late payments, yearly income, and other values associated with the financial situation of people applying for a mortgage; the model might return a number between 0 and 1, representing the likelihood of default. Deep Blue was an entirely non-learning AI; human computer programmers collaborated with human chess experts to create a function which takes the state of a chess game as input (the position of all the pieces, and which player’s turn it is) and returned a value associated with how “good” that state was for Deep Blue. The input vector contains all the relevant information about a data-point, and the label/numerical output is the model’s prediction. The type-weights make up a vector indexed by type. This is a major reason that some web pages do not get indexed

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