End-to-End Machine Learning: statistical significance of difference between model predictions In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: End-to-End Machine Learning: statistical significance of difference between model predictions. End-to-End Machine Learning: statistical …
Day: November 25, 2019
End-to-End Machine Learning: model selection in R using xyplot 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 an “xyplot”. An xyplot is a type of scatter plot that is used to compare …
End-to-End Machine Learning: model selection in R using summary results 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 tabular method called “summary results”. Summary results are a collection of statistics that summarize the performance of …