Hi, Apologies for the confusion. If both K-means and Logistic regression are applied to the same data set, are their performance comparable to determine which model to choose as final model, or they are used to model different kind of outcomes and as a result not comparable. For example, we can compare Decision tree with Logistic regression to assess their relative performance based on confusion metrics, ROC curve, errors etc. to determine which model perfumed well and be chosen. I am a new learner in this space, so a little insights will be great. So far I have not come across any example during the last few weeks related to comparing K-means and logistic regression. Kind regards, Shibbir
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