How can I use Matplotlib to plot the histogram of the error values?

 In the context of data science, you can plot a histogram of prediction errors by using Matplotlib. You can start by first calculating the errors from your model’s prediction and the ground truth values. Then you can use Matplotlib to create the histogram. Here is how you can do it in Python:-

Import numpy as np
Import matplotlib.pyplot as plt
# Assuming ‘predictions’ and ‘ground_truth’ are arrays containing prediction and ground truth values
Errors = predictions – ground_truth
# Plotting histogram
Plt.hist(errors, bins=20, edgecolor=’black’)  # Adjust the number of bins as needed
Plt.xlabel(‘Error’)
Plt.ylabel(‘Frequency’)
Plt.title(‘Distribution of Prediction Errors’)
Plt.grid(True)
Plt.show()