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Exercise

Assessing impact with partial dependence plots

Building on your previous contributions, your next task is to explore how 'CGPA' and 'University Rating' influence admissions decisions. Our earlier analysis showed that 'CGPA' is the most important predictor, while 'University Rating' is the least important one. Using a partial dependence plot, we can see how changes in these features affect the probability of admission, giving the admissions committee nuanced insights into their impact.

X_train and y_train have been pre-loaded for you.

Instructions 1/2

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  • 1
    • Generate the partial dependence plot for "CGPA" and analyze what it reveals about the feature's impact on predictions.
  • 2
    • Generate the partial dependence plot for the feature "University Rating" and analyze its impact on predictions.