How to compare performance of different trained models in R Comparing the performance of different trained models is an important step in the model selection process. It allows you to evaluate how well each model is able to make predictions and to choose the best model for your problem. In R, there are several ways …
Day: May 26, 2019
How to save trained model in R After training a model in R, it is often useful to save the model so that it can be used later without having to retrain it. R provides several ways to save a trained model, which include the save(), saveRDS(), and save() functions in the caret package. These …
How to utilise Confusion Matrix in R A confusion matrix is a table that is used to evaluate the performance of a classification model. It is used to compare the predicted values from a model with the actual values, and it helps to understand how well a model is doing at classifying data. In R, …
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