Professional Development · IT & Digital · Module 1: ML Foundations and Data

Splitting Data: Train, Validation, and Test Sets

4 Abschnitte1 Karteikarten-Decks1 Quizze

Understand why and how to split data into train, validation, and test sets — and why this discipline is the foundation of honest model evaluation.

Inhaltsübersicht

  • Why You Cannot Evaluate a Model on Its Own Training Data
  • Validation Sets, Hyperparameter Tuning, and Cross-Validation
  • Stratified Splits, Time-Series Splits, and Data Leakage
  • Typical Split Ratios and Building Leakage-Free Pipelines with scikit-learn
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