Solution :
From given that ,
The precision of the model = 6 / (6 + 2) = 6 / 8 = 0.75
Following is a confusion matrix table formed from the patients undergoing COVID -19 test. Predicted Positive...
6. Calculate the following performance metrics for the confusion matrix shown below. * True positive rate. * True negative rate. + False positive rate. + False negative rate. + Precision. + Accuracy + Error rate. Actual class Positive Negative Positive 30 15 Predicted Class Negative 10 85
Data is given on the number of patients who tested positive for COVID-19 on April 5th, 2020 in different cities in Alberta (AB). The following represents the boxplot for this dataset. H O 10 20 30 40 50 60 70 80 90 Fill in the Correct Answer for each Part: Part 1: 25% of cities in AB have fewer than how many positive COVID-19 cases? (1 mark) Part 2: 50% of cities in AB have more than how many positive...
Confusion Matrix The following table summarize performance of a classification algorithm for identifying cancerous (Malignant) cells. Table-1: Outcome from a classifier Model M1 Prediction Benign Malignant Actual Benign 60 15 Malignant 5 35 Compute the accuracy and error rate of the classifier. Compute the sensitivity and specificity of the classifier. Compute the precision and recall of the classifier. Compute the F1 measure of the classifier. Compute the Fβ measure of the classifier in which weights recall twice as much as...
please answer questions 4,5,6 only; if possible! thank you! 4. In patients with severe COVID-19, explain how having fewer of the cell type identified in question 3 could result in more severe symptoms of the disease. woolrollo enolhogona older 5. Briefly explain the function of the following proteins found in Table 2: a. C-reactive protein (CRP) b. Tumor necrosis factor-a (TNF-a) c. Interleukin 6 (IL-6) 6. Increased expression one of these three proteins (CRP, TNF-a, IL-6) may be responsible for...
During the COVID-19 outbreak doctors took samples of patients’ blood and analyzed them to determine how the immune system responds to the infection. The data below is separated into two groups: patients who had mild signs and symptoms and those who had severe illness. Table 1: Proportions of leukocytes in blood from COVID-19 infected patients. Leukocyte Normal percentage Mild Severe Neutrophil 40-75% 67.5% 77.6% Lymphocytes (T cells + B cells) 20-50% 21.4% 14.1% Monocytes 3.0-10% 8.4% 6.6% Eosinophils 0.4-8.0% 0.2%...
Suppose you have created a classification model. Later you have evaluated the model with a confusion matrix learned from class. The table below shows all four values from the test data: TP: 10 9 8 8 6 5 5 4 3 3 1 0 FP: 10 10 9 8 8 8 6 6 5 2 2 0 FN: 0 1 2 2 4 5 5 6 7 7 9 10 TN: 0 0 1 2 2 2 4 4 5...
75% of positively tested covid 19 cases and 10% of negatively are showing symptons. given that 25% of the tests are positive find the following: 1)probability that a randomly tested person is showing symptons 2)given that a random person is showing symptons what is the prob that a covid test for that person is positive? 3) given that a person is not showing symptons, what is the prob that a covid test for that person is positive? 1. DETAILS 75%...
Based on the test set above, calculate the precision rate. Based on the test set above, calculate the recall rate. calculate the F1 measure. calculate the misclassification rate. 1-4. The table below shows the predictions made for a categorical target feature by a model for a test dataset. ID Target Prediction ID Target Prediction ID Target Prediction 8 true 1 false false 15 false false true 2 false 9 false false 16 false false false 3 false false 10 false...
D Question 6 1 pts Suppose that patients are administered a "K-test" to test for the presence of Syndrome K. Consider the following table, summarizing data from 1000 patients: # Patients with #Patients without Syndrome K Syndrome K TOTALS: K test was positive for Syndrome 136 91 K-test was negative for syndrome 25 748 TOTALS: 161 748 Which of the following is true about the Type I error of the K-test? It is equal to the false negative rate of...
1. To test for the effectiveness of Hydroxychloroquine on preventing COVID-19 symptoms, University of Michigan is conducting a clinical trial. They are recruiting people by asking those who are healthcare workers and have had a high exposure to the disease to contact them to be enrolled in the study. They ultimate receive 10500 responses. Which option best characterizes this sample? Select one: a. Voluntary response sample 0 b. Simple random sample 0 c. Cluster sample 0 d. Systematic random sample...