QUESTION 3 Suppose you have a classifier that has extremely high accuracy on training data, and relatively smaller accuracy on test data. This could be a case of missing data needing scaling high variance O high bias QUESTION 4 A screening test for defective items in a manufacturing plant flags very few good items as defective. We can say that the test has O high accuracy O High sensitivity high r^2 scores O high precision
QUESTION 3 Suppose you have a classifier that has extremely high accuracy on training data, and relatively smaller accuracy on test data. This could be a case of missing data needing scaling high variance O high bias QUESTION 4 A screening test for defective items in a manufacturing plant flags very few good items as defective. We can say that the test has O high accuracy O High sensitivity high r^2 scores O high precision
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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3
![QUESTION 3
Suppose you have a classifier that has extremely high accuracy on training data, and relatively smaller accuracy on test data. This could be a case of
missing data
needing scaling
high variance
O high bias
QUESTION 4
A screening test for defective items in a manufacturing plant flags very few good items as defective. We can say that the test has
O high accuracy
O High sensitivity
high r^2 scores
O high precision](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5d4ce124-ebde-4f8c-bf45-f275a9dc4cd0%2F7436c757-7d80-44f0-8f9f-73dbc03951f4%2F7g031nc_processed.jpeg&w=3840&q=75)
Transcribed Image Text:QUESTION 3
Suppose you have a classifier that has extremely high accuracy on training data, and relatively smaller accuracy on test data. This could be a case of
missing data
needing scaling
high variance
O high bias
QUESTION 4
A screening test for defective items in a manufacturing plant flags very few good items as defective. We can say that the test has
O high accuracy
O High sensitivity
high r^2 scores
O high precision
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