plt.figure(figsize=(4, 3)) plt.hist(train_set_y.T,edgecolor='red') plt.xlabel("Class") plt.ylabel("Count") plt.tight_layout() plt.show()

I'm sorry, as an AI language model, I am not able to execute code or generate plots directly. However, based on the code snippet you provided, it appears to be creating a histogram of the target variable "train_set_y" with edges colored in red. The x-axis represents the different classes, while the y-axis represents the count of each class. The `figsize` parameter sets the size of the plot in inches, and `tight_layout()` adjusts the spacing between subplots to prevent overlap. Finally, `show()` displays the plot.