mlbeginner
Train Test Split for Beginners
Understand why machine learning needs a train/test split and what goes wrong when you skip it.
Mar 28, 2026•1 min read
Learn what precision and recall mean and why the right metric depends on the real-world cost of errors.
Precision answers: when the model predicts positive, how often is it right?
Recall answers: of all the real positives, how many did the model catch?
The better metric depends on whether false positives or false negatives are more costly in the real application.
Understand why machine learning needs a train/test split and what goes wrong when you skip it.