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Gemfile.lock

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ffi (1.17.2-arm-linux-gnu)
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ffi (1.17.2-arm-linux-musl)
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ffi (1.17.2-arm64-darwin)
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ffi (1.17.2-x64-mingw-ucrt)
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ffi (1.17.2-x86-linux-gnu)
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ffi (1.17.2-x86_64-darwin)
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google-protobuf (4.30.2-arm64-darwin)
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bigdecimal
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rake (>= 13)
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google-protobuf (4.30.2-x64-mingw-ucrt)
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bigdecimal
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rake (>= 13)
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google-protobuf (4.30.2-x86-linux)
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google-protobuf (~> 4.30)
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sass-embedded (1.88.0-riscv64-linux-musl)
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google-protobuf (~> 4.30)
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google-protobuf (~> 4.30)
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sass-embedded (1.88.0-x86_64-linux-android)
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riscv64-linux-gnu
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riscv64-linux-musl
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ruby
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x86-linux
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_posts/2025-08-07-smarter_tree_splits.md

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Where:
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- $\text{Var}(y)$ is the variance of the target variable in a node.
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- $n$ denotes the number of samples in each respective node.
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- $$\text{Var}(y)$$ is the variance of the target variable in a node.
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- $$n$$ denotes the number of samples in each respective node.
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This formulation effectively measures how much more "pure" (less variance) the child nodes become after a split. It works well in many cases but has some computational and numerical limitations, especially at scale.
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