Cross-Validation, Knn, And Kernel-Based Learning
Cross-validation, K-nearest neighbors (KNN), and the kernlab package are important concepts in machine learning and data analysis. Cross-validation is a technique used to evaluate the performance of a machine learning model by repeatedly partitioning the dataset into training and testing subsets. KNN is a non-parametric classification algorithm that assigns a label to a new data … Read more