I have $20,000$ training examples of various candidate attributes (highest level of education, country, year of formal training completion, etc).
My output (prediction) will be for
job_performance, which is measured between $700$ and $4,200$ (in my training data). Initially, I was thinking about putting together a
fully connected neural network, but I attempted a similar problem in a
Kaggle competition, but that didn't produce great results. What method(s) would you use to start?