title: Validation and Testing accuracy widely different
body: <p>I am currently working on a dataset in kaggle. After training the model of the training data, I testing it on the validation data and got an accuracy of around 0.49. </p>
  
  <p>However, the same model gives an accuracy of 0.05 on the testing data. </p>
  
  <p>I am using neural networks as my model</p>
  
  <p>So, what are the possible reasons for this to happen and how does one begin to check and correct these issues?</p>