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Lack of agreement from the three underlying models can point out the prediction uncertainty. Model conformity could also be denoted as mc, and calculated as the square root of dispersion of the three mannequin predictions from the weighted prediction to measure the mannequin conformity. The coefficient of mc in logistic regression is predicted to be unfavorable. Confidence scoring methods and corresponding techniques have been developed for predicted property values. A confidence score provides a type of accuracy indication for property values predicted by a collateral evaluation or property worth prediction mannequin.
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In common, the bigger the σ, the smaller the probability of prediction error lower than 10%. Thus the coefficient of 1/σ will be expected to be positive and the coefficient of σ to be unfavorable. 3 is a graphical diagram illustrating the behavior of the logistic operate that gives the confidence scoring model.
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