Open atrisovic opened 2 months ago
import numpy as np from sklearn.metrics import confusion_matrix import matplotlib.pyplot as plt import seaborn as sns # Generating the confusion matrix cm = confusion_matrix(df["y"], predictions) # Visualizing the confusion matrix plt.figure(figsize=(6, 4)) sns.heatmap(cm, annot=True, fmt="d", cmap="Blues", xticklabels=set(df["y"]), yticklabels=set(df["y"])) plt.xlabel('Predicted labels') plt.ylabel('True labels') plt.title('Confusion Matrix') plt.show()