I'd like to know how to evaluate which model is best. For example: I am learning machine learning using the titanic dataset, and I used decisions tree, logistic regression, and random forest, but how can I evaluate which one will have the highest hit percentage ??
I have read a material about evaluation metrics of machine learning, but I do not quite understand it and still less how it is used.
preferably using R