Question: data analytics Consider the attached confusion matrix. Which is a correct statement about false positives where positive mean graduation and negative mean non-graduation? Select one:

data analytics

Consider the attached confusion matrix. Which is a correct statement about false positives where positive mean graduation and negative mean non-graduation? Select one: a. The false positive of 33% is the percentage nongraduations predicted as graduations. b. The false positive of 33% is the percentage of nongraduation predictions that are false. c. The false positive of 33% is the percentage of graduations predicted as non- graduations. d. The false positive of 33% is the percentage of graduation predictions that are false

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer

Step: 1 Unlock blur-text-image

Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock

Step: 3 Unlock

Students Have Also Explored These Related General Management Questions!

Consider the attached confusion matrix. Which is a correct statement about false positives where positive mean graduation and negative mean non-graduation? Predicted PAID Graduated Not Graduated...

Consider the attached confusion matrix. Which is a correct statement about false positives. Where positive means BAC>=0.08. Predicted DWI YES NO Total Actual YES 3299 2162 5461 60% Sensitivity NO...

Consider the attached confusion matrix. Which is a correct statement about false positives. Where positive means BAC 0 . 0 8 . Select one: a . The false positive of 2 9 % is the percent ge of BAC 0 ....

Consider the confusion matrix. Which is a correct statement about false negatives where positive mean graduation and negative mean non - graduation? Predicted Actual PAID Graduated Not Graduated...

A confusion matrix shows the number of correct and incorrect predictions made by a classification model compared to the actual outcomes (target value) in the data. The matrix is NxN, where N is the...

What Is This Data? Story about the Dataset You are a data scientist at an internet startup selling online products. The marketing team is getting ready to run a new ad campaign and want you to build...

Follow the steps given in Machine Learning With R , Chapter 5, section "Example Identifying Risky Bank Loans Using C5.0 Decision Trees." download the credit. csv file from Packt Publishing's website...

Performance Appraisal: Measurement, Assessment, and Management Chapter 7 Radius Images/Getty Images Learning Objectives After reading this chapter, you should be able to do the following: Use a...

I need two things in this one. 1. complete the steps 9 and 10 tables using with math lab. 2. Explain this process how working on the math lab?( explain upper task how doing with words) 6. Bare nuclei...

Download and analyze the data in the CreditCard dataset. The following variables are included in the dataset: 1. card: was the application for a card accepted? (Binary: 1/0) Response Variable 2....

On September 1, 2009, the Little Broadway Players signed a note to raise cash to buy a theater. The terms of the note call for seven annual payments of $ 5,000 and an interest rate of 9 percent....

One of the steps in the extraction of iron from its ore (FeO) is the reduction of iron(II) oxide by carbon monoxide at 900C: FeO(s) + CO(g) Fe(s) + CO2(g) If CO is allowed to react with an excess of...

An FDIC examining Hoam has visined Firm National Bank and grve it a CAMELS rating of ' S . If you were an investor in the bank, how weuld you likely react to this rating? Invest more in the bank by...

atch the compensation objectives with their meanings. Efficiency Efficiency drop zone empty. Fairness Fairness drop zone empty. Compliance Compliance drop zone empty. Improving performance and...