What is the primary purpose of a learning rate decay in training deep neural networks?
A. To adjust the learning rate based on model performance
B. To increase the model's complexity
C. To optimize the loss function
D. To reduce the number of layers in the network
Answer: Option A
This Question Belongs to Data Science >> 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
A. Accuracy
B. Precision
C. Recall
D. F1 Score
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
A. Leave-One-Out Cross-Validation (LOOCV)
B. Stratified Sampling
C. Holdout Validation
D. Feature Scaling
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