Categories

Jan 18 in Machine Learning
Q:

How can you avoid overfitting?

1 Answer

Jan 18

Overfitting happens when a machine has an inadequate dataset and it tries to learn from it. So, overfitting is inversely proportional to the amount of data.

For small databases, we can bypass overfitting by the cross-validation method. In this approach, we will divide the dataset into two sections. These two sections will comprise testing and training sets. To train the model, we will use the training dataset and, for testing the model for new inputs, we will use the testing dataset.

This is how we can avoid overfitting.

Click here to read more about Loan/Mortgage
Click here to read more about Insurance

Related questions

Madanswer
Sep 22 in Artificial Intelligence
Aug 19, 2019 in Selenium
Nov 28, 2019 in Machine Learning
...