: 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.
: Identifying 100,000 instances of automated or malicious accounts. 100K RF FACEBOOK.xlsx
: Private Traits and Attributes are Predictable from Digital Records of Human Behavior (PNCAS). 2. Marketing & Reach Frequency (RF) Modeling : Random Forest is preferred for 100K-row datasets
Knowing the origin will help in finding the specific "deep paper" or documentation you need. 100K RF FACEBOOK.xlsx
: Optimizing Facebook ad campaigns using Random Forest for ROI prediction.