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?
I use neural networks to predict which passengers will survive, with 66 % accuracy.
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”
I try to find the relationship between test scores and kindergarten experience, taking background variables into account. The conclusions might have implications for parents.