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What is the main advantage of using cross-validation?
Practice Questions
Q1
What is the main advantage of using cross-validation?
It increases the training dataset size
It helps in hyperparameter tuning
It provides a more reliable estimate of model performance
It reduces overfitting
Questions & Step-by-Step Solutions
What is the main advantage of using cross-validation?
Steps
Concepts
Step 1: Understand that when we build a model, we need to check how well it performs.
Step 2: Realize that using the same data to train and test the model can give misleading results.
Step 3: Learn that cross-validation helps by splitting the data into different parts.
Step 4: In cross-validation, we train the model on one part of the data and test it on another part.
Step 5: Repeat this process several times with different parts of the data.
Step 6: By averaging the results from these tests, we get a better estimate of how the model will perform on new data.
No concepts available.
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