Part II that demonstrates how to implement parallem processing on single machine in R
Part III that demonstrates how to implement parallem processing on single machine in R
Part I that demonstrates how to implement parallem processing on single machine in R
Part VI of tree based methods in R series. Performance of classification analysis is discussed.
Part V of tree based methods in R series. Performance of regression analysis is discussed.
Part IV of tree based methods in R series. 3 R packages for classification analysis are compared - rpart, caret and mlr packages.
Part III of tree based methods in R series. Regression tasks are discussed.
Part II of tree based methods in R series. Cost-sensitive classification is implemented, assuming that misclassifying the High class is twice as expensive, both by altering the priors and by adjusting the loss matrix.
Part I of tree based methods in R series. Classification analysis is performed using the caret package.
This is a quick trial of adding overall and conditional (by user) average columns in a data frame.