ExamVeda
Login
Home

In model evaluation what is the term for the process of...

This question belongs to Data Science Model Evaluation And Validation
Model Evaluation and Validation
?

In model evaluation, what is the term for the process of assessing a model's performance using a separate, held-out dataset that was not used during training or validation?

Answer & Solution
Correct Answer: Option C
Let's discuss the solution. Join the discussion
Examveda
Question posted by Examveda
Community

Join the Discussion

No comments yet Be the first to discuss this question.
Keep Learning

Related Questions on Model Evaluation and Validation

What is the primary purpose of a validation dataset in machine learning?
A. To train the model B. To evaluate the model on unseen data C. To test the model's performance on training data D. To visualize data relationships
Which metric is commonly used to evaluate classification models and represents the ratio of correctly predicted positive instances to all positive instances?
A. Accuracy B. Precision C. Recall D. F1 Score
In k-fold cross-validation, if you choose a higher value of k (e.g., k = 10), what effect does it have on the model evaluation process?
A. It reduces the risk of overfitting B. It reduces the number of folds used in training C. It increases the model's complexity D. It decreases the training time
Which technique is used to prevent data leakage in cross-validation, ensuring that information from the test set doesn't influence model training?
A. Leave-One-Out Cross-Validation (LOOCV) B. Stratified Sampling C. Holdout Validation D. Feature Scaling
More Related Questions on Model Evaluation and Validation