HOTSPOT You are performing feature scaling by using the scikit-learn Python library for x.1 x2, and x3 features. Original and scaled data is shown in the following image. Use the drop-down menus to select the answer choice that answers each…

HOTSPOT You have a feature set containing the following numerical features: X, Y, and Z. The Poisson correlation coefficient (r-value) of X, Y, and Z features is shown in the following image: Use the drop-down menus to select the answer…

HOTSPOT You have a dataset created for multiclass classification tasks that contains a normalized numerical feature set with 10,000 data points and 150 features. You use 75 percent of the data points for training and 25 percent for testing. You…

HOTSPOT You need to configure the Permutation Feature Importance module for the model training requirements. What should you do? To answer, select the appropriate options in the dialog box in the answer area. NOTE: Each correct selection is worth one…

HOTSPOT You need to configure the Feature Based Feature Selection module based on the experiment requirements and datasets. How should you configure the module properties? To answer, select the appropriate options in the dialog box in the answer area. NOTE:…

HOTSPOT You need to set up the Permutation Feature Importance module according to the model training requirements. Which properties should you select? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.…

Case study This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam.…