in Data Science by
Q:
Can you explain the difference between a Validation Set and a Test Set?

▼ Show 1 Answer

0 votes
by

A Validation set can be considered as a part of the training set as it is used for parameter selection and to avoid overfitting of the model being built.

On the other hand, a Test Set is used for testing or evaluating the performance of a trained machine learning model.

In simple terms, the differences can be summarized as; training set is to fit the parameters i.e. weights and test set is to assess the performance of the model i.e. evaluating the predictive power and generalization.

Learn More with Madanswer

Related questions

0 votes
asked Sep 19, 2020 in XML by SakshiSharma
...