Question

Nested Cross Validation is the most popular way to tune _________ of an algorithm.

Answer 1

Nested Cross Validation is the most popular way to tune hyperparameters of an algorithm.

Explanation:

• It is used to optimize the hyperparameters of a training set of a machine learning dataset model.
• Nested cross-validation is the combination of hyperparameter optimization and cross-validation.
• It helps in evaluating the performance of the model with the best set of parameter passages.
• GridSearchCV and RandomSearchCV of sci-kit package returns the best learning and suitable models with the parameters that are tuned.

Learn more:

1. Ch+=2 is equivalent to​

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2. A CSS file cannot be linked to a web page. State True or False.

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Answer 2

Answer:

hyperparameters

Explanation:

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