What is ‘training Set’ and ‘test Set’ in a Machine Learning Model?

[abhishek_acharya]

There is a three-step process followed to create a model:

1. 1. Train the model
      
      
   2. Test the model 
      
      
   3. Deploy the model
      

Training Set

• The training set is examples given to the model to analyze and learn
  
  
• 70% of the total data is typically taken as the training dataset
  
  
• This is labeled data used to train the model
  

Test Set

• The test set is used to test the accuracy of the hypothesis generated by the model
  
  
• Remaining 30% is taken as testing dataset
  
  
• We test without labeled data and then verify results with labels