Home » Data Science » Machine Learning » When we’re using a normal approximation, the width of our confidence interval depends on the variance of the normal distribution. Recall that the variance of each sample is identical, but the variance of the average is divided by n. Therefore since dividing by a larger number makes a quantity smaller, the variance of the average of 10000 samples should be less than that for 1000 samples, so the second confidence interval should be tighter. Q: Practice More Questions From: Evaluating Machine Learning Models Created with Fabric.js 4.6.0 Practice More Questions Data Analysis 2000+ Qs Machine Learning 1000+ Qs Created with Fabric.js 4.6.0 Similar Questions If sensitivity = 0.9, specificity = 0.8, and prevalence = 0.2, then what is the accuracy? You have a model such that the lowest score for a positive example is higher than the maximum score for a negative example. What is its ROC AUC? You want to measure the proportion of people with high blood pressure in a population. You sample 1000 people and find that 55% have high blood pressure with a 90% confidence interval of (50%, 60%). What is the correct interpretation of this result? When we’re using a normal approximation, the width of our confidence interval depends on the variance of the normal distribution. Recall that the variance of each sample is identical, but the variance of the average is divided by n. Therefore since dividing by a larger number makes a quantity smaller, the variance of the average of 10000 samples should be less than that for 1000 samples, so the second confidence interval should be tighter. What is the sensitivity and specificity of a pneumonia model that always outputs positive? In other words, the models says that every patient has the disease. What is the sensitivity and specificity of a model which randomly assigns a score between 0 and 1 to each example (with equal probability) if we use a threshold of 0.7? For every specificity, as we vary the threshold, the sensitivity of model 1 is at least as high as model 2. Which of the following must be true? In some studies, you may have to compute the Positive predictive value (PPV) from the sensitivity, specificity and prevalence. What is the PPV and sensitivity associated with the following confusion matrix? Created with Fabric.js 4.6.0 Practice More Questions Data Analysis 200+ Qs Machine Learning 100+ Qs