Random Forest classified early vs late prostate cancer stage from TCGA RNA-seq with a best F1 of 83%, but the mean F1 over 100 runs was 70.2%.
A study on comparative analysis of feature selec- tion algorithms for students grades prediction
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Leveraging Machine Learning and Deep Learning Techniques for Improved Pathological Staging of Prostate Cancer
Random Forest classified early vs late prostate cancer stage from TCGA RNA-seq with a best F1 of 83%, but the mean F1 over 100 runs was 70.2%.