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How weighted score does calculate?
A weighted average is a more accurate measurement of scores or investments that are of relative importance to each other. Identify the numbers to be used, identify the weights of each number, convert percentages to decimals, multiply each number by its weight, and add them together to get the weighted score.
If 85 percent of a grade is 80 and the other 15 percent is 91 what is the final grade?
You have what's known as a weighted average. The 80 score is weighted more heavily than the 91 score, so the weighted average will be closer to 80 than a non-weighted average. 0.85 x 80 = 68 0.15 x 91 = 13.65 68 + 13.65 = 81.65
How much percentage is 2.5 0n 4.0 GPA score?
2.5 GPA is an 80% because it is on a weighted scale. Anything from 0% to 59% is still a 0 GPA.
How is a weighted credit score calculated to make an overall credit risk rating?
Focusing on individuals (including guarantors and/or co-signers), most major banks use what is known as a "weighted credit score" to calculate the borrowers credit risk. Part of that score will be derived directly from contents of the credit report and part of that score will be derived from other information about the borrower (e.g., bank relationship/account history, criminal record, income, assets, etc.). These calculations, better known as "risk models," tend to be proprietary and focused on supporting the larger portfolio strategy of the bank. To create that model, a bank will look back at all of their recent customer history (usually the most recent 3 to 5 years; depends on the focus of the model) and identify the elements that were predictive of customer default (e.g., number of late payments in the last 12 months) through the use of multiple regression techniques. The bank will then refine and optimize the model through historical testing. At that point, each element that is related to defaulting will have a coefficient associated with the measure. This coefficient combined with the range of values that the element takes on provides the weighting for the overall score. For example, say I have a very simple model for predicting default as follows (the higher the score, the higher the risk to lend to the borrower): Credit Risk Rating = 50 * late payments in 12 months + 200 * legal judgments - 10 * annual income in thousands In the above model, assuming that the range of late payments and legal judgments are similar (say, historically from 0 to 3), a legal judgment will negatively impact the score 4x as much as a late payment. However, high income will counter the risk.
What is Z score normalization?
The z Score utility model transforms the distribution of pixel values into a standard normal distribution (z-score value). By this normalization the images of different individuals become more comparable.For more information on z-score, check this article:http://en.wikipedia.org/wiki/Standard_score
