Which of the Following Statements Is False

question 28

Multiple Choice

Which of the following statements is false?

• A) In machine learning, a model implements a machine-learning algorithm. In xe "machine learning:scikit-learn"xe "scikit-learn (sklearn) machine-learning library"scikit-learn, models are called estimators.
• B) There are two parameter types in machine learning-those the estimator calculates as it learns from the data you provide and those you specify in advance when you create the scikit-learn estimator object that represents the model.
• C) The machine-learning parameters the estimator calculates as it learns from the data are called hyperparameters-in the k-nearest neighbors algorithm, k is a hyperparameter.
• D) For simplicity, we use scikit-learn's default hyperparameter values. In real-world machine-learning studies, you'll want to experiment with different values of k to produce the best possible models for your studies-this process is called hyperparameter tuning.

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Definitions:

Low-Risk Situations

Scenarios or environments where there is minimal chance of failure, harm, or loss, often used for training or practicing new skills.

Reflect On Performance

The act of assessing and considering one's own work or behavior in order to learn from experiences and improve future outcomes.

Performance Maintenance

The efforts and processes put in place to ensure consistent performance levels over time.

Symbolic Gesture

A movement or action that expresses an idea, emotion, or sentiment, often without using words.