You are tuning a hyperparameter for an algorithm

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You are tuning a hyperparameter for an algorithm.

The following table shows a data set with different hyperparameter, training error, and validation errors.

Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic.

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Answer:

Explanation:

Box 1: 4

Choose the one which has lower training and validation error and also the closest match.

Minimize variance (difference between validation error and train error).

Box 2: 5

Minimize variance (difference between validation error and train error).

Reference: https://medium.com/comet-ml/organizing-machine-learning-projects-project-management-guidelines-2d2b85651bbd