title: How to determine which deep learning model is better on basis of their accuracy
body: <p>I have got 2 models with following accuracies:</p>
  
  <p>Model 1:
  train acc: 52%
  test acc: 32%</p>
  
  <p>Model 2:
  train acc: 70%
  test acc: 40%</p>
  
  <p>The 2nd model gives a better test scores but the 1st Model has a difference of 20% between test and train accuracy where in the 2nd model there is a difference of 30% which means 1st one has lower variance, isn't it? Then how do we decide which model gives a better results or in turn is a better model?</p>