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Question 2Complete the following sentence: The training data is used to fit the model, while the test data is used to:1 pointmeasure the parameters and hyperparameters of the modeltweak the model hyperparameterstweak the model parametersmeasure error and performance of the model

Question

Question 2Complete the following sentence: The training data is used to fit the model, while the test data is used to:1 pointmeasure the parameters and hyperparameters of the modeltweak the model hyperparameterstweak the model parametersmeasure error and performance of the model

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Solution

The correct answer is: measure error and performance of the model.

Here's why:

Step 1: Understanding the terms

  • Training data: This is the data that we use to train our machine learning model. It helps the model learn the relationship between the features (input) and the target variable (output).
  • Test data: This is the data that we use to evaluate the performance of our model. It is separate from the training data and provides an unbiased evaluation of the final model.

Step 2: Understanding the process

  • The model is first trained using the training data. This is where the model learns to make predictions by fitting the input features to the target variable.
  • After the model has been trained, it needs to be evaluated to see how well it has learned. This is where the test data comes in. The model makes predictions on the test data, and these predictions are compared to the actual values to measure the model's performance.

Step 3: Answering the question

  • The test data is not used to measure or tweak the parameters or hyperparameters of the model. These are determined during the training phase.
  • The test data is used to measure the error and performance of the model. This helps us understand how well the model will perform on unseen data, which is its ultimate goal.

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