Which of the Following Statements Is False

question 64

Multiple Choice

Which of the following statements is false?

• A) The k in the k-nearest neighbors algorithm is a xe "machine learning:hyperparameter"hyperparameter of the algorithm.
• B) Hyperparameters are set after using the algorithm to train your model.
• C) In real-world machine learning studies, you'll want to use xe "hyperparameter:tuning"hyperparameter tuning to choose hyperparameter values that produce the best possible predictions.
• D) To determine the best value for k in the kNN algorithm, try different odd values of k then compare the estimator's performance with each.

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Definitions:

Standard Error

The standard deviation of the sampling distribution of a statistic, commonly the mean, providing a measure of the precision of the estimated mean.

Independent Variables

Independent variables are the variables in an experiment or analysis that are manipulated or categorized to investigate their effect on dependent variables.

Sample Size

The number of observations or data points collected from a population to form a sample for analysis.

Coefficient Of Determination

The coefficient of determination, symbolized as R², quantifies the proportion of the variance in the dependent variable that is predictable from the independent variables.