Parameter-efficient fine-tuning (LoRA family)
Random Forest
Superseded baseline#198 of 1,113 most-superseded
Superseded — cited as a baseline and beaten by newer methods
1 papers critique it · 1 beat it on benchmarks
What papers say
Verbatim critique sentences, each from a paper that cites Random Forest as a baseline.
limited by parameter accuracy and generalization, they struggle with flexible predictions in real-world scenarios.
Beaten on benchmarks
Head-to-head results where a newer method reports beating Random Forest. Values are copied from the source paper's tables — verify against the cited paper.
iLoRA beats Random Forest
0.7990 vs 0.6151
AUROC · [IBD diagnosis (tabular)]
iLoRA: Bayesian Low-Rank Adaptation with Latent Interaction Graphs for Microbiome Diagnosis
What to use instead
Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.