What is ‘training Set’ and ‘test Set’ in a Machine Learning Model? - Printable Version +- Forums (https://bdn.bdb.ai) +-- Forum: BDB Knowledge Base (https://bdn.bdb.ai/forumdisplay.php?fid=13) +--- Forum: DS Labs (https://bdn.bdb.ai/forumdisplay.php?fid=61) +---- Forum: DS- Lab Q&A (https://bdn.bdb.ai/forumdisplay.php?fid=63) +---- Thread: What is ‘training Set’ and ‘test Set’ in a Machine Learning Model? (/showthread.php?tid=467)

What is ‘training Set’ and ‘test Set’ in a Machine Learning Model? - abhishek_acharya - 12-23-2022 There is a three-step process followed to create a model: Train the model Test the model  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