Home » Data Science » Machine Learning » If sensitivity = 0.9, specificity = 0.8, and prevalence = 0.2, then what is the accuracy? Q: Practice More Questions From: Evaluating Machine Learning Models Created with Fabric.js 4.6.0 Similar Questions In some studies, you may have to compute the Positive predictive value (PPV) from the sensitivity, specificity and prevalence.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?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.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?What is the PPV and sensitivity associated with the following confusion matrix?A data analyst wants to communicate to others about their analysis. They ensure the communication has a beginning, a middle, and an end. Then, they confirm that it clearly explains important insights…Fill in the blank: The _____ creates a scatterplot and then adds a small amount of random noise to each point in the plot to make the points easier to find.What function creates a scatterplot and then adds a small amount of random noise to each point in the plot to make the points easier to find?You are studying the effect of a new treatment for heart attack, your job consists in looking at outcomes of the effect in patients, fill the unit level treatment effect column using the Neyman-Rubin…A data analyst wants to include a visual in their slideshow, then make some changes to it. Which of the following options will enable the analyst to edit the visual within the presentation without…You listen to the whole question, then repeat it. For what reasons is this important? Select all that apply.After reviewing your slide, you realize that the visual elements could be improved. A good solution would be for you to choose one data visualization to share on this slide, then create another slide…If a feature x has range 0 to ∞, then what is the range of ln(x)?True or False: If a > b, then ln(a) > ln(b).True or False: When your data is missing at random, then whether or not you are missing a covariate is completely independent of your outcome. Created with Fabric.js 4.6.0 Practice More Questions Data Analysis 200+ Qs Machine Learning 100+ Qs