100k Rf Facebook.xlsx ★ 【Working】

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

Knowing the origin will help in finding the specific "deep paper" or documentation you need. 100K RF FACEBOOK.xlsx

Based on the components of the filename, this topic likely involves using a machine learning model—a robust algorithm for classification and regression—trained on a dataset of 100,000 (100K) samples related to Facebook (likely social media metrics, user behavior, or advertising data). If your interest is in the algorithm itself

: Predicting personality or "Likes" using ensemble methods. : Optimizing Facebook ad campaigns using Random Forest

: Optimizing Facebook ad campaigns using Random Forest for ROI prediction.

While the exact "deep paper" for that specific .xlsx file isn't publicly indexed, the following research areas represent the most likely "deep" academic context for such a dataset: 1. Facebook User Behavior & Prediction

: 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.