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:

LSAT Scores

Numerical scores derived from the Law School Admission Test, used to assess law school applicants' readiness for law school admissions.

ANOVA

Stands for Analysis of Variance, a statistical method used to test differences between two or more group means.

Tukey's Method

A statistical test to identify outliers by comparing the spread of data sets.

Multiple Comparison Methods

Statistical procedures used to determine significant differences among group means in a dataset, where several groups are compared.