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1 year ago in Machine Learning By Anuj Patel

How can Machine Learning model performance be improved without collecting more data?

How can we enhance an ML model's performance by optimizing the existing dataset and algorithm, rather than by gathering additional data?

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By Rani Answered 1 year ago

Improve results through better data utilization and model refinement:
1. Feature Engineering: Create new informative features or use domain knowledge.
2. Feature Selection: Remove irrelevant or redundant features to reduce noise.
3. Hyperparameter Tuning: Systematically optimize model parameters (e.g., via grid/random search).
4. Advanced Techniques: Use ensemble methods (bagging, boosting, stacking) or more sophisticated algorithms.
5. Cross-Validation & Resampling: Employ k-fold cross-validation for robust evaluation and techniques like SMOTE for class imbalance.
6. Preprocessing: Ensure proper normalization, handling of missing values, and outlier treatment.

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