On COSMIC/TCGA RNA-seq data, Random Forest and Gradient Boosting classify 17 cancer types with 99.89% and 99.68% accuracy on a single 75/25 test split.
The Journal of urology 195, 493-498 (2016)
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The efficacy of various machine learning models for multi-class classification of RNA-seq expression data
On COSMIC/TCGA RNA-seq data, Random Forest and Gradient Boosting classify 17 cancer types with 99.89% and 99.68% accuracy on a single 75/25 test split.