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Tidymodels

R 里的统计建模与机器学习流程：怎么读、怎么跑一个建模工作流。

4 章 · 2026-05-27 – 2026-05-29

  1. 01Base R Modeling FundamentalsFormula syntax and traditional R modeling workflow
  2. 02Exploratory Data AnalysisEDA checks before modeling, using the Ames data as the running example
  3. 03Data SpendingTrain/test/validation splitting and leakage control for model assessment
  4. 04Performance MetricsChoosing and reading regression / binary / multiclass metrics with yardstick