Deep Learning, Stock Prediction, Python, Financial Analysis, Programming.
Training and Validation Loss. Created by Author # Plot the ROC curve fpr, tpr, thresholds = roc_curve(y_test, model.predict(X_test_scaled)) roc_auc = auc(fpr, tpr) plt.figure(figsize=(10, 6)) plt.plot(fpr, tpr, color='darkorange', lw=2, label=f'ROC curve (area = {roc_auc:.2f})') plt.plot([0, 1],