Classification in R – partial least squares discriminant 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 partial least squares discriminant analysis (PLS-DA). PLS-DA is a technique …
Day: November 15, 2019
Classification in R – naive bayes 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 naive bayes algorithm. Naive Bayes is a probabilistic algorithm that is based …
Classification in R – logistic regression for multiclass 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 multiclass classification. Multiclass classification is a …