End-to-End Machine Learning: model selection in R using scatterplot matrix When training multiple machine learning models, it’s important to select the best one to use on new, unseen data. One way to do this is by using a visual tool called a “scatterplot matrix” (SPLOM). A scatterplot matrix is a collection of scatter plots in …
Day: November 24, 2019
End-to-End Machine Learning: model selection in R using parallel plot When training multiple machine learning models, it’s important to select the best one to use on new, unseen data. One way to do this is by using a visual tool called a “parallel plot”. A parallel plot is a visual representation that allows comparing multiple …
End-to-End Machine Learning: model selection in R using density plot When training multiple machine learning models, it’s important to select the best one to use on new, unseen data. One way to do this is by using a visual tool called a “density plot.” A density plot is a graphical representation of the probability density …
End-to-End Machine Learning: model selection in R using boxplot When training multiple machine learning models, it’s important to select the best one to use on new, unseen data. One way to do this is by using a visual tool called a “boxplot.” A boxplot is a graphical representation of the distribution of a dataset, showing …