Table 9 Random Forest and Dummy classifiers balanced accuracy of preprocessed GED with discretizations pipelines vs. \(log_{2}\) GED (accuracies are expressed as percentages)
From: Polygenic risk modeling of tumor stage and survival in bladder cancer
Pipeline | RF Bal. Acc. | Dummy Bal. Acc. |
|---|---|---|
tSNE Uniform | \(61.4\pm 9.4\) | \(17.6\pm 3.4\) |
tSNE Log-z | \(58.4\pm 9.3\) | \(17.4\pm 3.9\) |
tSNE Normal | \(62.5\pm 9.0\) | \(13.9\pm 2.8\) |
UMAP Uniform | \(61.4\pm 9.4\) | \(16.9\pm 2.8\) |
UMAP Log-z | \(58.5\pm 8.5\) | \(13.3\pm 3.5\) |
UMAP Normal | \(62.5\pm 9.0\) | \(14.2\pm 2.3\) |
\(log_{2}\) GED | \(26.0\pm 3.1\) | \(17.7\pm 4.5\) |