what is the difference between training and validation in regression? how do you compare a training and validation set how to find if training is better than validation why is it important to use regularization for regression if you have a training set and validation data, you will overfit a model how to overfit a model training what is the model that performs better on the training data and validation data? how to make regression models robust when using a lasso model what model is best what is the best criteria to use for regression models how much data is needed to run a training model when using elastic net in a regression model what is the value which of the following is a good criterion for choosing a model? how to find the model for testing what is the correct criterion for choosing a linear regression model? what is the best size for training and validation? why is there an overfitting criteria for training and validation how to overfit regression models why do regression models get overfitted can you use a lasso model to test the model?