How can I visualize the results of an Elastic Net model?

How can I visualize the results of an Elastic Net model?

You can visualize the results using various techniques like coefficient plots, heatmaps, or residual plots. What specific aspect are you interested in?

I'm particularly interested in the coefficient plot.

Great choice! A coefficient plot can help you see the impact of each feature. Would you like a code example in Python?

Yes, please provide a code example.

Here's a simple example using Matplotlib:

import matplotlib.pyplot as plt
import numpy as np

# Assuming 'model' is your fitted Elastic Net model
coefficients = model.coef_
features = np.array(['feature1', 'feature2', 'feature3'])

plt.bar(features, coefficients)
plt.title('Elastic Net Coefficients')
plt.xlabel('Features')
plt.ylabel('Coefficient Value')
plt.show()

That looks helpful! How do I interpret the coefficient values?

The coefficient values indicate the strength and direction of the relationship between each feature and the target variable. Positive values suggest a positive relationship, while negative values indicate an inverse relationship.