Key Differences:. Output Type: Classification predicts discrete labels, while regression predicts continuous values.; Algorithms: Many algorithms overlap between classification and regression, such as ...

They tend to think that it is a regression algorithm. But, this is not true. Logistic Regression is the classification algorithm and it is used for supervised learning classification problems. So, I ...

The behaviour of regression and classification algorithms varied markedly when selection was done at different thresholds, that is, κ and RE for each algorithm depended strongly on the selection ...

Results: Novel Linear regression Algorithm (98.15%) has the increased accuracy over Recurrent Neural Network Algorithm (97.22%) with an independent samples-t-test significance value of p=0.01 (p. 0.05 ...

Decision Trees are a popular supervised machine learning algorithm used for both classification and regression tasks. They mimic human decision-making processes by creating a tree-like model of ...