SAP interview Questions | Dataset
Question
If through training all the features in the dataset, an accuracy of 100% is obtained but with the validation set, the accuracy score is 75%. What should be looked out for?
in progress
0
Machine Learning
4 years
3 Answers
885 views
Great Grand Master 0
Answers ( 3 )
When your validation set is showing less accuracy than your training set. Probably there can be a case of over-fitting the model on your training dataset. We can avoid it by regularization
This happens when the model is over fitting to the training data and also learning the
noise which is present in data. To avoid this, we can resort to methods like cross validation,
feature selection and regularization.
It tells that there the model is overfitted. We can use cross validation and L1 or L2 regularization to prevent overfitting