Day: November 18, 2019

Evaluate Machine Learning Algorithm – repeated kfold cross validation in R

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, …

Evaluate Machine Learning Algorithm – leave one out cross validation in R

Evaluate Machine Learning Algorithm – leave one out 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 “leave-one-out cross validation” (LOOCV). In leave-one-out cross validation, …

Evaluate Machine Learning Algorithm in R – kfold cross validation in R

Evaluate Machine Learning Algorithm in R – 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 “k-fold cross validation.” In k-fold cross validation, the …