I am a method used to assess the performance of a regression model by partitioning the data into training and validation sets multiple times. What am I?
Question
Solution 1
You are Cross-Validation.
Here are the steps of how you work:
Split the dataset into a training set and a validation set. The most common split is 80% for training and 20% for validation, but this can vary based on the size and nature of your dataset.
Train the regression model on the trai Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study prob
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solv
Similar Questions
I am a method used to assess the performance of a regression model by partitioning the data into training and validation sets multiple times. What am I?
If a model has a validation accuracy of 85% and a training accuracy of 95%, what is the difference in performance between the training and validation datasets?
I predict house prices based on multiple features like area, bedrooms, and bathrooms. Which regression method am I?
State True or False: Standardization of features is not required before training a Logistic regression model True False
What is used to assess the overall accuracy of a linear regression model? R-squared p-value Mean absolute error F-statistic