Question: if we decrease the cutoff value of a logistic regression model then considering that number of true positives true negatives false positive and false negatives

if we decrease the cutoff value of a logistic regression model then considering that number of true positives true negatives false positive and false negatives changes which of the following is true assume that there are no changes in the dataset used if we decrease the cutoff value of a logistic regression model then considering that number of true positives true negatives false positive and false negatives changes which of the following is true assume that there are no changes in the dataset used false positive rate decreases sensitivity increases specificity increases none of the above

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 Economics Questions!

1. Introduction Discuss the statement of the problem with regard to the statistical analyses that are being performed. Address the following questions in your analysis: What is the data set that you...

If you ( or an agent ) are two steps away from a 1 0 0 dollars reward and if the reward / penal for taking each step is zero and if the discount rate is 0 . 9 then what will be the worth of tha 1 0 0...

use the code r Script below to Answer the questions from number 3 to 7 Questions : 3. Model #1 - First Logistic Regression Model Reporting Results Report the results of the regression model. Address...

1- When you try to find the most appropriate input probability distribution in a simulation model, you first have to choose the most appropriate family, and then you have to select the most...

Professor John Doe has developed a novel classification algorithm (model) for diagnosing early onset of lung cancer. Dr. Doe has collected data from 1000 participants with half of them diagnosed with...

1 . Let's assume that you are building a model to detect fraudulent transactions in an online payment system. The priority is to avoid blocking legitimate transactions. Here the number of true...

Questions 17-20 17 10 points A Logistic Regression model is used classify patients receiving "Good Care" or "Bad Care." The following is a sample of 10 patients from If the threshold value is 0.5,...

Question 3 (1 point) Which of the following are issues in data integration? (which would actually cause conflicts) Two different databases may have different column names for the same actual...

Please use the link below to answer the question. For this assignment please use R or R Studio. https://drive.google.com/file/d/1JUfmGe_3Tr_3hkM55dV-rAYCBuTizIsX/view?usp=sharing PREREQUISITES -...

Final Project Designing a Prediction Model for Denial of Loan GBUS 3 3 0 2 Date Model Understanding: The objective of this report is to build a model to predict whether or not a loan was approved or...

Fill out the chart with this information You hire a new surgeon that will begin doing elective surgeries in year 2. This increases your surgical volume by 10% from year 1 and another 15% in year 3....

Let X1, X2,..., X, be a random sample of size n from the pdf f(x) = 2 - 2x, 0

Based on this can you make statement of comprehensive income and statement of changes in partners equity Current Assets Cash and Cash Equivalents Trade and Other Receivables Merchandise Invento...

\ begin { tabular } { | c | c | c | c | c | c | c | c | c | } \ hline & \ multicolumn { 7 } { | c | } { Item X } \ \ \ hline & Week 1 & Week 2 & Week 3 & Week 4 & Week 5 & Week 6 & Week 7 & Week 8 \...

6. Develop a circular model, with positive and negative feedback loops, showing the relationships between the following critical variables:

Self-confidence

The number of people commenting on the statement