Predicting long-term multicategory cause of death in patients with prostate cancer: random forest versus multinomial model
Jianwei Wang, Fei Deng, Fuqing Zeng, A. Shanahan, Wei Vivian Li, Lanjing Zhang
This study compares random forest and multinomial models for predicting 6-category cause of death in prostate cancer patients, finding random forest achieves 59.1% accuracy versus 50.4% for multinomial models.
bioRxiv · Jan 3, 2020 · PreprintBioinformatics