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January 25, 2026 · 1 min read

How does a Random Forest work and why is it better than a single decision tree?

A Random Forest builds many decision trees on random subsets of data and features then aggregates their predictions. It is better than a single tree because averaging many uncorrelated trees…

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SOFTWARE_ARCHITECT // AI_ENGINEER

📅 Jan 25, 2026 ⏱ 1 min read

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How does a Random Forest work and why is it better than a single decision tree?

COVER // HOW DOES A RANDOM FOREST WORK AND WHY IS IT BETTER THAN A SINGLE DECISION TREE?

A Random Forest builds many decision trees on random subsets of data and features then aggregates their predictions. It is better than a single tree because averaging many uncorrelated trees reduces variance without increasing bias.

decision-trees ensemble intermediate ml random-forest

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