Home » Data Science » Machine Learning » 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?

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You’ve fit a random forest of 10 trees with max depth 20. Your training ROC is 0.99 and test ROC is 0.54. Which of the following is NOT a reasonable thing to try?

Let’s say blood pressure (BP) measurements are more likely to be missing among young people, who generally have lower blood pressure. You use mean imputation to train your model. Which option…

Say you have trained a decision tree which never splits on a variable X. What will be the variable importance for X using the permutation method?

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?

What is the soft dice loss for the example below?

You want to create a vector with the values 21, 12, 39, in that exact order. After specifying the variable, what R code chunk allows you to create the vector?

You want to create a vector with the values 12, 23, 51, in that exact order. After specifying the variable, what R code chunk allows you to create the vector?

After reviewing your draft, you realize that it could be improved. To improve your draft, you select more varied hues, choose darker values, and make the color intensity stronger. This will also help…

Compute the Harrell C-index for the following dataset and risk scores:

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.

You are working with the penguins dataset. You want to use the summarize() and max() functions to find the maximum value for the variable flipper_length_mm. You write the following code:penguins…

You are working with the penguins dataset. You want to use the summarize() and min() functions to find the minimum value for the variable bill_depth_mm. You write the following code:penguins…

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You are working with the diamonds dataset. You create a bar chart with the following code:ggplot(data = diamonds) +geom_bar(mapping = aes(x = color, fill = cut)) +You want to use the facet_wrap()…

You are working with the diamonds dataset. You create a bar chart with the following code:ggplot(data = diamonds) +geom_bar(mapping = aes(x = color, fill = cut)) +You want to use the facet_wrap()…

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