What does "Light Gradient Boosting Machine" mean?
Table of Contents
Light Gradient Boosting Machine (LGBM) is a type of machine learning model used for making predictions based on data. It works by creating a series of decision trees, which are simple models that split data into different categories based on certain features.
How It Works
LGBM builds trees one after another, each time focusing on errors made by the previous tree. This helps improve the overall accuracy of the model. It is known for being fast and efficient, making it suitable for handling large datasets.
Why Use LGBM
LGBM is popular because it can handle various types of data well and often provides better predictions than other models. Its ability to deal with missing values and adapt to different situations makes it a strong choice for tasks like mortality risk assessment.