[null,null,["最后更新时间 (UTC):2025-02-25。"],[[["Decision trees utilize conditions, categorized as axis-aligned (single feature) or oblique (multiple features), to make decisions."],["Conditions can be binary (two outcomes) or non-binary (more than two outcomes), with binary decision trees being more common due to reduced overfitting."],["Threshold conditions, comparing a feature to a threshold, are the most frequently used type of condition in decision trees."],["YDF primarily uses axis-aligned conditions, but oblique splits can be enabled for more complex patterns using the `split_axis=\"SPARSE_OBLIQUE\"` parameter."],["While oblique splits offer greater power, they come at the cost of increased training and inference expenses compared to axis-aligned conditions."]]],[]]