Machine Learning with CARET in R – Binary Classification with CARET in R CARET (short for “Classification And REgression Training”) is a powerful tool in R for training and comparing machine learning algorithms. One of the most common tasks in machine learning is binary classification, which is the process of sorting items into one of …
Day: November 16, 2019
Algorithm Checkpoint with CARET in R CARET (short for “Classification and REgression Training”) is a powerful tool in R for training and comparing different machine learning algorithms. It provides a consistent and easy-to-use interface for working with many different algorithms, including decision trees, random forests, support vector machines (SVMs), and more. One of the most …
Classification in R – SVM in R Support Vector Machine (SVM) is a popular method for classification in machine learning and data analysis. It’s a type of algorithm that can sort items into different categories based on their characteristics. An SVM works by finding the best boundary, or “decision boundary,” that separates the different classes …
Classification in R – random forest in R Classification is a way of sorting items into different categories. It’s a common task in machine learning and data analysis. One popular method for classification is called “random forest,” which is a type of decision tree algorithm. A decision tree is a flowchart-like structure that breaks down …