Home » Data Science » Machine Learning » Compute the Harrell C-index for the following dataset and risk scores: Q: Practice More Questions From: Build A Risk Model Using Linear and Tree-Based 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 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 S(5) given the following dataset using the Kaplan Meier estimate (note, it's the same dataset as in the previous question).A linear risk model for the risk of heart attack has three inputs: Age, Systolic Blood Pressure (BP), and the interaction term between Age and Systolic Blood Pressure. The coefficients for Age, BP,…Which decision boundary corresponds to the following decision tree? In the options, red indicates high risk, blue indicates low risk.Compute the probability of surviving up to 4 years S(4)S(4) given the following dataset using the Kaplan Meier estimate:You train the random forest pictured below and it gets a c-index of 0.90. After shuffling the values for x, your dataset is the following. What is the variable importance for x?You are working with the ToothGrowth dataset. You want to use the glimpse() function to get a quick summary of the dataset. Write the code chunk that will give you this summary. How many variables…You are working with the ToothGrowth dataset. You want to use the head() function to get a preview of the dataset. Write the code chunk that will give you this preview.head(ToothGrowth)What are the…You are working with the ToothGrowth dataset. You want to use the skim_without_charts() function to get a comprehensive view of the dataset. Write the code chunk that will give you this view. How many…Compute the F1 score for pneumonia and mass separately based on the following retrieved labels and ground truth:In some studies, you may have to compute the Positive predictive value (PPV) from the sensitivity, specificity and prevalence.What is the C-index for the following set of predictions?Now compute the F1 score for all labels jointly: Which assignment of risk would make the following pair concordant?Using regression imputation, and the decision tree shown here, what is your prediction for this person's risk of heart attack? Created with Fabric.js 4.6.0 Practice More Questions Data Analysis 200+ Qs Machine Learning 100+ Qs