Home » Data Science » Machine Learning » 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. 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 What is the C-index for a model which always outputs 0.6 for any patient regardless of their health outcome?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.Now assume that the hazards for patient 1, h_1and for patient 2, h_2 are proportional to each other. Also assume that S_1(T) > S_2(T) for some T > 0. Then which of the following is true about…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?Fill in the blank: An effective slideshow guides your audience through your main communication points, but it does not repeat every word you say. A best practice is to keep text to fewer than…Person 1 has hazard h_1(t) = 1, and Person 2 has hazard h_2(t) = 2. What is the probability of dying within the first year for each patient?If sensitivity = 0.9, specificity = 0.8, and prevalence = 0.2, then what is the accuracy?Model 1 has a c-index of 0.7 and Model 2 has a c-index of 0.6. Which is more accurate using a threshold of 0.5 for the risk score?Compute the F1 score for pneumonia and mass separately based on the following retrieved labels and ground truth:Could the following table of outputs be given by a linear model with no interactions (assume not including a feature means setting it to 0)?What will this patient's risk score be one year later, if all other features remain the same?Calculate the conditional average treatment effect applying the Two-Tree Learner method, the patient has an Age=61 and BP= 130.You find that your training set has 70% negative examples and 30% positive. Which of the following techniques will NOT help for training this imbalanced dataset?The survival function is always: Created with Fabric.js 4.6.0 Practice More Questions Data Analysis 200+ Qs Machine Learning 100+ Qs