Evaluate Machine Learning Algorithm – repeated kfold cross validation in R Evaluating the performance of a machine learning algorithm is an important step in understanding how well it will work on new, unseen data. One popular method for evaluating the performance of an algorithm is called “repeated k-fold cross validation.” In repeated k-fold cross validation, …
Regression with CARET in R Regression is a type of machine learning that is used to predict a continuous variable based on one or more input variables. CARET (short for “Classification And REgression Training”) is a powerful tool in R for training and comparing different regression algorithms. When using CARET for regression, you start by …
Classification in R – Bagging CART 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 bagging (also known as bootstrap aggregating) with Classification and Regression Trees (CART) …
Support Vector Machine in R Support Vector Machine (SVM) is a type of supervised machine learning algorithm that can be used for both classification and regression tasks. It works by finding the best boundary, called a hyperplane, that separates different classes or predicts the target variable with the highest accuracy. In R, there are several …
Regression with classification and regression trees in R Regression with classification and regression trees (CART) is a type of statistical analysis that is used to model relationships between variables. It is a decision tree-based algorithm that can be used for both classification and regression tasks. It’s a tree-based method, where the algorithm recursively splits the …
Non-Linear Regression in R – regression with bagging_CART in R Non-linear regression is a type of statistical analysis that is used to model relationships between variables that are not linear. In other words, it is used to model relationships where the change in one variable is not directly proportional to the change in another variable. …
Non-Linear Regression in R – random forest algorithm in R Non-linear regression is a type of statistical analysis that is used to model relationships between variables that are not linear. In other words, it is used to model relationships where the change in one variable is not directly proportional to the change in another variable. …
Non-Linear Regression in R – multivariate adaptive regression in R Non-linear regression is a type of statistical analysis that is used to model relationships between variables that are not linear. In other words, it is used to model relationships where the change in one variable is not directly proportional to the change in another variable. …
Non-Linear Regression in R – KNN in R Non-linear regression is a type of statistical analysis that is used to model relationships between variables that are not linear. In other words, it is used to model relationships where the change in one variable is not directly proportional to the change in another variable. One popular …
Non-Linear Regression in R – gradient boosted machine in R Non-linear regression is a type of statistical analysis that is used to model relationships between variables that are not linear. In other words, it is used to model relationships where the change in one variable is not directly proportional to the change in another variable. …