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Comparison between XGBoost and RandomForest

@MP-Aubay
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Hi @kiiro52o2, could you :

  • Update the PR title like this "GCI120 [Team X][2025] - Angular rule"
  • Update CHANGELOG.md
  • Update RULES.md

@@ -0,0 +1,17 @@
{
"title": "Comparison between XGBoost and RandomForest",
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could change title to give information about the real good practice and note a global title with no good practice to follow.
Maybe something like "Use XGBoost instead RandomForest" ...


== Metrics Comparison Table

[cols="1,1,1,1", options="header"]
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sorry but I don't understand how you do your tests ... could you give us more information on your testing context, please ?


XGBoost not only matches or exceeds the accuracy of RandomForest but also runs significantly faster and emits less CO₂.

== Visual Comparison
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in your different graphics, you show several frameworks ... could you explain why do you choose XGBoost instead of RadomForestClassifier ... and not other framework ? only based on your array with metrics ?
for example, seeing your graphs ... HistGradientBoosting or ExtraTrees are not so bad, no ?

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This PR has been automatically marked as stale because it has no activity for 60 days.
Please add a comment if you want to keep the issue open. Thank you for your contributions!

@github-actions github-actions bot added the stale label Aug 14, 2025
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3 participants