Understand the role of validation sets in model training: their significance in predicting labels accurately and ensuring comprehensive training data utilization.
Table of Contents
Question
HOTSPOT (Drag & Drop is not supported)
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Statement 1: A validation set includes the set of input examples that will be used to train a mode.
Statement 2: A validation set can be used to determine how well a model predicts labels.
Statement 3: A validation set can used to verify that all the training data was used to train the model.
Answer
Statement 1: A validation set includes the set of input examples that will be used to train a mode: No
Statement 2: A validation set can be used to determine how well a model predicts labels: Yes
Statement 3: A validation set can used to verify that all the training data was used to train the model: No
Explanation
Box 1: No
The validation dataset is different from the test dataset that is held back from the training of the model.
Box 2: Yes
A validation dataset is a sample of data that is used to give an estimate of model skill while
tuning model’s hyperparameters.
Box 3: No
The Test Dataset, not the validation set, used for this. The Test Dataset is a sample of data used to provide an unbiased evaluation of a final model fit on the training dataset.
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