Caret confusion matrix. There are several ways to show the table entries.

Caret confusion matrix. For rfe, the matrix is associated with the optimal number of variables. 7. 0-1 Misc functions for training and plotting classification and regression models. For train, the matrix is estimated for the final model tuning parameters determined by train. I made a function to compute sensitivity and specificity from a confusion matrix, and only later found out the caret package has one, confusionMatrix(). Below we explore creating and interpreting confusion matrices using the caret package. It's called a confusion matrix because it reveals how "confused" the model is between the 2 classes, and highlights instances in which one class is confused for the other. confusionMatrix, sensitivity, specificity, posPredValue, negPredValue, print. R Calculates cross-tabulation of observed and predicted classes along with associated statistics. We will go through the basics, discuss how to interpret these metrics, and provide R code snippets to create and visualize them using the popular caret and pROC packages. mcy rmz3f axlrxaa xyer spo 6oua1 kv mwzbv kemr wpdlkpx