[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["缺少我需要的資訊","missingTheInformationINeed","thumb-down"],["過於複雜/步驟過多","tooComplicatedTooManySteps","thumb-down"],["過時","outOfDate","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["示例/程式碼問題","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間：2025-02-25 (世界標準時間)。"],[[["Decision forests are highly effective for modeling tabular data, making them a primary choice for datasets commonly found in spreadsheets, CSV files, or databases."],["Unlike neural networks, decision forests directly handle tabular data without requiring preprocessing steps like feature normalization or imputation."],["While decision forests can be adapted for non-tabular data like images or text, neural networks are generally better suited for such data types."],["Decision forests are sample efficient, performing well even with small datasets or those with a high feature-to-example ratio, but still benefit from larger datasets."],["Decision forests offer faster inference speeds compared to neural networks, typically completing predictions within microseconds on modern CPUs."]]],[]]
