Consider the Confusion Matrix for the Digits Dataset's Predictions: Array([[45

question 56

Multiple Choice

Consider the confusion matrix for the Digits dataset's predictions: array([[45, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[ 0, 45, 0, 0, 0, 0, 0, 0, 0, 0],
[ 0, 0, 54, 0, 0, 0, 0, 0, 0, 0],
[ 0, 0, 0, 42, 0, 1, 0, 1, 0, 0],
[ 0, 0, 0, 0, 49, 0, 0, 1, 0, 0],
[ 0, 0, 0, 0, 0, 38, 0, 0, 0, 0],
[ 0, 0, 0, 0, 0, 0, 42, 0, 0, 0],
[ 0, 0, 0, 0, 0, 0, 0, 45, 0, 0],
[ 0, 1, 1, 2, 0, 0, 0, 0, 39, 1],
[ 0, 0, 0, 0, 1, 0, 0, 0, 1, 41]])
Which of the following statements is false?

• A) The correct predictions are shown on the diagonal from top-left to bottom-right-this is called the principal diagonal.
• B) The nonzero values that are not on the principal diagonal indicate incorrect predictions (that is, misses).
• C) Each row represents one distinct class-that is, one of the digits 0-9.
• D) The columns within a row specify how many of the test samples were classified incorrectly into each distinct class 0-9.

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Definitions:

External Dimensions

The measurable extent of an object's outer boundaries or surface size, including width, height, and depth.

F8/h7 Symbol

A code in engineering denoting a specific type of fit between two machined parts, with precisions defined by the letter and number.

Close Running

Fit type characterized by a small but non-restrictive clearance that allows components to move together smoothly without excessive play or looseness.

Grades

Levels of quality or size in a uniform set of specifications, or levels of academic achievement in educational contexts.