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Idea shared by Melody Diaz - March 15 at 1:49 PM
Proposed
Model Selection
There are many parameters on which choice of model depends for example if the target variable shows some sort of continuity then it is prefered to choose a regression based model. Similarly if the target variable consists of categorical values , then in that case it would be better not to choose regression. There are different classification algorithms on which these models are built on. For example logistic regression algorithm represents a Machine Learning Technique used for classifying a set of data into its given target values . Logistic regression could also be used for regression problems but is widely used for classification problems.
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hellon wood Replied
March 15 at 7:51 PM
There are several factors that influence model selection. For example, if the target variable exhibits any degree of consistency, a regression-based model is preferred. Similarly, if the target variable contains categorical values, regression should be avoided. These models are constructed using a variety of classification algorithms. Pay Someone To Do Essay
 

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