Classification in R – logistic regression for binary class classification in R Classification is a type of supervised machine learning that is used to predict the class or category of a new observation based on the values of its predictors. One popular method of classification is using logistic regression for binary class classification. Logistic regression …
Day: November 13, 2019
Classification in R – linear discriminant analysis in R Classification is a type of supervised machine learning that is used to predict the class or category of a new observation based on the values of its predictors. One popular method of classification is using linear discriminant analysis (LDA). LDA is a technique for finding a …
Classification in R – KNN in R Classification is a type of supervised machine learning that is used to predict the class or category of a new observation based on the values of its predictors. One popular method of classification is using k-nearest neighbors (KNN) algorithm. KNN is a simple and intuitive algorithm that works …
Classification in R – gradient boosted machine in R Classification is a type of supervised machine learning that is used to predict the class or category of a new observation based on the values of its predictors. One popular method of classification is using gradient boosted machine (GBM). GBM is an ensemble method that combines …