Classification Report: All Values are 1 - Common Causes and Solutions

"classification_report(labels, preds, labels=classes, output_dict=True, zero_division=1)"\nThis code uses the classification_report function to generate a classification report, returning a dictionary instead of the default string format due to the output_dict=True argument. If all values are 1 and the confusion matrix is incorrect, consider these possibilities:\n1. Data Imbalance: Large differences in sample sizes between classes can skew evaluation metrics. Consider weighted averages or appropriate metrics for such scenarios.\n2. Mismatched Labels: The labels argument passed to classification_report might not align with actual predictions. Ensure the order and naming match the true classes.\n3. Zero Division Error: Setting zero_division=1 forces accuracy and recall to 1 when a class has no true samples. Consider alternative values like 0 to avoid this issue.\nCarefully review these factors, debug your code and data, to pinpoint the source of the problem.