Home » Data Science » Machine Learning » What is the C-index for a model which always outputs 0.6 for any patient regardless of their health outcome? Q: Practice More Questions From: Linear Prognostic 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 sensitivity and specificity of a pneumonia model that always outputs positive? In other words, the models says that every patient has the disease.A data analyst wants to find out how much the predicted outcome and the actual outcome of their data model differ. What function can they use to quickly measure this?A data analyst uses the bias() function to compare the actual outcome with the predicted outcome to determine if the model is biased. They get a score of 0.8. What does this mean?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?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 the…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)?The survival function is always: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.Now that you have some idea of the questions the stakeholders may ask, you consider potential objections. How do you ensure you are prepared for any potential objections? Select all that apply.Next, you prepare for the question-and-answer session that will follow your presentation. What methods help you consider any limitations of your data? Select all that apply.Next, you prepare for the question-and-answer session that will follow your presentation. What methods help you consider any limitations of your data? Select all that apply.Which of the following is true about the hazard of patient 1 and 2 at time T?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?Look at the output of model 1 and model 2: Which one will have a lower soft dice loss?What will this patient's risk score be one year later, if all other features remain the same? Created with Fabric.js 4.6.0 Practice More Questions Data Analysis 200+ Qs Machine Learning 100+ Qs