New answers tagged linear-regression
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Why don't we use Manhattan distance instead of euclidean distance in linear regression?
Linear regression does not typically use Euclidean distance. The most common loss for linear regression is the least-squares error. It might be useful to examine this idea visually.
Here is least ...
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Why don't we use Manhattan distance instead of euclidean distance in linear regression?
The Euclidean distance is the most commonly used measure of distance in the context of least squares regression, because it is the distance measure that is induced by the Euclidean norm. In other ...
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Testing RANSAC regression model
There are different aspects to consider here:
1. Robustness
One of the reasons to use RANSAC is its robustness towards outliers. That means that some outliers more or less in the training set will ...
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Can GLM( generalized linear method) handle the collinearity between the predictor variables in a regression-analysis?
Generalized Linear model is based on assumption of non-normal distribution and offer an alternative to the problem of response variable being measured as ,say, binomial data. In such a case,a model ...
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