Neural Networks, Deep Learning, Data Science, Algorithmic Trading, Cryptocurrency Investment.
ensemble_predictions, delimiter=',') # Plot confusion matrix def plot_confusion_matrix(y_true, y_pred, classes): cm = confusion_matrix(y_true, y_pred) plt.figure(figsize=(8, 6)) sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', xticklabels=classes, yticklabels=classes) plt.xlabel('Predicted