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A function used to quantify the difference between observed data and predicted values according to a model. Minimization of loss functions is a way to estimate the parameters of the model.
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The most appropriate model for dataset [closed]
For example, we have a dataset, and we want to find best representative hyperplane for this dataset. In other words, we aim to perform regression operation.
This hyperplane can be in linear, sinusoi …
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Logistic Regression For Classification [duplicate]
The origin of logistic regression is actually logistic curve which varies from the value 0 to the value 1. It looks like the letter S, and it specifies the growth of species.
If our data distribution …