eXtreme Gradient Boosting Algorithm with Machine Learning: a Review
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Abstract
The primary task of machine learning is to extract valuable information from the data that is generated every day, process it to learn from it, and take useful actions. Original language process, pattern detection, search engines, medical diagnostics, bioinformatics, and chemical informatics are all examples of application areas for machine learning. XGBoost is a recently released machine learning algorithm that has shown exceptional capability for modeling complex systems and is the most superior machine learning algorithm in terms of prediction accuracy and interpretability and classification versatility. XGBoost is an enhanced distributed scaling enhancement library that is built to be extremely powerful,…
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244
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5Topics & keywords
Keywords
- Machine learning
- Computer science
- Artificial intelligence
- Python (programming language)
- Interpretability
- Boosting (machine learning)
- Learning classifier system
- Gradient boosting
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