Classification and regression trees are ideally suited for the analysis of complex ecological data. For such data, we require flexible and robust analytical methods, which can deal with nonlinear ...

Ordinal regression and classification methods form a vital branch of statistical learning wherein the outcome variable possesses an inherent order. Unlike conventional classification problems ...

Supervised learning tasks such as regression and classification will be implemented in Python using data from heart disease data, electromyography and Parkinson's disease. Various Machine Learning ...