During training, the model makes a prediction, and the objective function calculates how well it performed. The optimizer is code that then changes the model's parameters so the model will do a better job next time.How an optimizer adjusts the parameters is complex, and something we cover ...
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Regression typically aims to find the line that produces the least amount of error, where error here means the difference between the actual data-point value and the predicted value. For example, in the following image, the black line indicates the error between the prediction, the red line, ...
Predictive models are objective, repeatable, based on real information, and use statistics to identify and organize what matters most, to make the prediction accurate. Predictive models are what we use in predictive analytics because they’re much better than human “gut” predictions, which are su...
You are told that the coefficient of determination, r^2, of a regression is .9488. What does that mean? Explain what the term correlation means as used in statistics. Given a regression, what does the coefficient a of product of multiple variables mean?
WinWin: What strategies does Telenor have for growth in Asia? Andersen:We hold the key belief that Internet access is our core. All our markets still have much potential. Emerging markets like Myanmar, Pakistan, and Bangladesh have much potential to grow in the area of mobile busine...
R-squared measures the goodness of fit but does not provide insights into prediction accuracy. Adjusted R-squared: It adjusts the R-squared value by the number of predictors in the model, accounting for model complexity. It penalizes overfitting and provides a more reliable measure of the model...
The class prediction is made by determining the probability for each possible class as a value between 0 (impossible) and 1 (certain). The total probability for all classes is always 1, as the patient is definitely either diabetic or non-diabetic. So, if the predicted probability of a ...
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Investors should be aware that the expectations theory is not always a reliable tool. A common problem with using the expectations theory is that it sometimes overestimates future short-term rates, making it easy for investors to end up with an inaccurate prediction of a bond’syield curve. An...