Evaluate Machine Learning Algorithm in R – dataset split 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 common method for evaluating the performance of an algorithm is to split the available data into two sets: a training …
Day: November 17, 2019
Evaluate Machine Learning Algorithm in R – bootstrap 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 “bootstrapping.” Bootstrapping is a resampling method that creates multiple new …
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 …