Fix Bug: Model Accuracy Drops on Large Datasets #6
Description
The AI model currently experiences a significant drop in accuracy when handling large datasets. Investigate and resolve performance issues to ensure consistent and reliable predictions.
Tasks:
Analyze the model’s behavior on large datasets.
Identify potential causes of accuracy decline (e.g., overfitting, memory limitations).
Optimize data preprocessing techniques.
Implement model tuning and feature selection strategies.
Test improvements with different dataset sizes.
Acceptance Criteria:
The model should maintain stable accuracy above 80%, even on large datasets.
Memory usage and processing time should be optimized.
Performance should be consistent across different test cases.