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Improving ML Accuracy by Deep Narayan is a document available to read on EtoBox.

What is Improving ML Accuracy about?

The document outlines several strategies to improve machine learning results, including increasing data quantity to avoid class imbalance and addressing missing values and outliers. It emphasizes the importance of using multiple algorithms, tuning parameters, and employing feature engineering techniques. Additionally, it suggests using ensemble methods like bagging and boosting, and performing cross-validation with varied training and testing datasets.

Author

Deep Narayan

Language

EN