Exercise

Computing feature importance with random forests

As a data scientist at a financial consulting firm, you have developed a random forest classifier that classifies individuals according to their income levels. Now, you need to explain the model by analyzing feature importance to determine the key factors for predicting income, enabling more targeted market segmentation and improving strategic decision-making.

matplotlib.pyplot has been imported as plt. X_train and y_train are pre-loaded for you.

Instructions

100 XP

Extract the feature importances from the model.
Plot the feature_importances.

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Instructions

Exercise