Ace the CertNexus CDSP Test 2025 – Dive Into Data and Dominate!

Question: 1 / 400

In leave-p-out validation, how many data points are used for testing?

One

p data points

In leave-p-out validation, p data points are set aside for testing in each iteration, while the remainder of the dataset is used for training the model. This technique allows for a comprehensive evaluation of the model's performance by systematically varying which specific data points are left out.

By utilizing p data points for testing, mean performance metrics can be calculated over multiple iterations, providing insights into the model's reliability and generalizability on unseen data. This method contrasts with other validation techniques where, for instance, only one point might be excluded (in leave-one-out scenarios) or where the entire dataset might be used for both training and testing without any specific p points designated for testing.

Get further explanation with Examzify DeepDiveBeta

n data points

All data points

Next Question

Report this question

Download CertNexus Certified Data Science Practitioner (CDSP) Practice Exam PDF Study Guide
Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy