Machine Learning Training and Validation Data Quiz

To evaluate the model and improve hyperparameters during training (correct)

To provide the model with initial parameters

To train the model on unseen data

To test the model after it has been completely trained

After it has been completely trained to provide unbiased evaluation (correct)

To set the hyperparameters before training

To fit the model on the training dataset

During the initial training phase to learn from

Predict values without seeing the actual output

Learn from the experiences it is fed during training (correct)

Set the initial parameters for the model

Evaluate the model's performance

<p>It learns from the data it sees</p> Signup and view all the answers

<p>By comparing the model's predictions with the actual output in the testing data</p> Signup and view all the answers