Which of the Following Statements Is False

question 1

Multiple Choice

Which of the following statements is false?

• A) Classification in xe "supervised machine learning"supervised machine learning attempts to predict the distinct class to which a sample belongs.
• B) If you have images of dogs and images of cats, you can classify each image as a "dog" or a "cat." This is a binary classification problem.
• C) When classifying digit images from the Digits dataset bundled with xe "machine learning:scikit-learn"xe "scikit-learn (sklearn) machine-learning library"scikit-learn, our goal is to predict which digit an image represents. Since there are 10 possible digits (the classes), this is a multi-classification problem.
• D) You train a classification model using unlabeled data.

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Definitions:

Coefficient of Variation

A statistical measure that assesses the relative variability of data points around the mean, indicating the level of dispersion.

Standard Deviation

A statistical measure of the dispersion or variability of a set of values, often used in finance to quantify the risk associated with an investment's return.

Perfectly Positively Correlated

A relationship between two variables where they move in the same direction at the same time with a correlation coefficient of +1.

Portfolio Risk

The potential for loss or underperformance across a collection of investments held by an individual or institution.