Rf Facebook.xlsx — 100k

Knowing the origin will help in finding the specific "deep paper" or documentation you need.

: Optimizing Facebook ad campaigns using Random Forest for ROI prediction. 100K RF FACEBOOK.xlsx

If your interest is in the algorithm itself applied to this scale: Knowing the origin will help in finding the

: Random Forest is preferred for 100K-row datasets because it handles high-dimensional data (many columns in an .xlsx) without the extensive preprocessing required by deep learning. 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.

: Private Traits and Attributes are Predictable from Digital Records of Human Behavior (PNCAS). 2. Marketing & Reach Frequency (RF) Modeling