Neural Networks, Deep Learning, Data Science, Algorithmic Trading, Cryptocurrency Investment.
yticklabels=classes) plt.xlabel('Predicted Label') plt.ylabel('True Label') plt.title('Confusion Matrix') plt.show() # Define class labels (assuming 0, 1, 2 for classes) class_labels = ['Class 0', 'Class 1', 'Class 2'] # Plot confusion matrix plot_confusion_matrix(y, ensemble_predictions,