XenonStack
Lightgbm
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XenonStack GlossaryLightgbm

Key takeaway

  • Overview of LightGBM Gradient boosting Framework and It''s Uses, Comparing Lightgbm with other Frameworks

Comparing Lightgbm with other Frameworks

In a comparison of other boosting related framework, it has the following advantages -

  • Training speed faster without compromising efficiency.
  • The memory usage is also low.
  • It provides better accuracy.
  • It supports two types of learning parallel and GPU.
  • It has the capability of handling large scale data.

Best Uses of Lightgbm Framework

It is recommended to use Lightgbm with small datasets because it is considered to be prone to overfitting, which can easily overfit on small datasets also.