In binary classification problems, we try to predict y=1 representing for example default or cancer. How can we evaluate if our models are good or bad?
datascience
My workouts: data descriptives
In January 2016, I started filling out a quick form after each workout. My goal is to summarize the key metrics to give me clear pointers — supported by data — on where to improve. Continue reading “My workouts: data descriptives”
Jacob Lindberg 