100k Rf Facebook.xlsx -

Papers in this category often use datasets of 100K+ users to predict psychological traits or engagement.

If your interest is in the algorithm itself applied to this scale: 100K RF FACEBOOK.xlsx

: Researchers frequently use Random Forest models to analyze large-scale CSV/XLSX exports of Facebook data to predict user attributes like age, gender, or political leaning. Papers in this category often use datasets of

: Unlike "black box" deep learning, RF allows for "feature importance" analysis, showing exactly which Facebook metrics (e.g., shares vs. comments) are the strongest predictors. RF allows for "feature importance" analysis

Papers in this category often use datasets of 100K+ users to predict psychological traits or engagement.

If your interest is in the algorithm itself applied to this scale:

: Researchers frequently use Random Forest models to analyze large-scale CSV/XLSX exports of Facebook data to predict user attributes like age, gender, or political leaning.

: Unlike "black box" deep learning, RF allows for "feature importance" analysis, showing exactly which Facebook metrics (e.g., shares vs. comments) are the strongest predictors.