Newbie Help JASP Machine learning
I am very new to this world and have been working on making predictive models using linear regression. I've gone through excel and have been using JASP more recently to make these linear regression models.
I just came across the machine learning section in JASP and was excited to use that as opposed to my manual attempts at choosing predictors going through training sets, validation sets and test sets etc.
However I am very confused as when I attempt to use the machine learning in JASP I am not seeing what the coefficients would be for each of the predictors in the model or what the actual model looks like. I am under the assumption that using machine learning would create the optimal regression model, performing all the training and validation testing on its own. Is this correct or am I completely misunderstanding it?