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abhishek_acharya

12-23-2022, 09:59 AM
There is a three-step process followed to create a model:

    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
Forums > BDB Knowledge Base > DS Labs > DS- Lab Q&A > What is ‘training Set’ and ‘test Set’ in a Machine Learning Model?