From: Artificial Intelligence based wrapper for high dimensional feature selection
Datasets | Number of cigarettes smoked per day (µ(σ)) | Sample size (n) | Feature space (p) |
---|---|---|---|
TCGA-BLCA | 1.16 (2.34) | 433 | 56,602 |
TCGA-CESC | 0.30 (0.62) | 307 | 56,602 |
TCGA-ESCA | 0.95 (1.21) | 172 | 56,602 |
TCGA-HNSC | 1.41 (1.89) | 544 | 56,602 |
TCGA-KICH | 0.21 (0.67) | 89 | 56,602 |
TCGA-KIRP | 0.42 (1.04) | 320 | 56,602 |
TCGA-LUAD | 1.53 (1.59) | 592 | 56,602 |
TCGA-LUSC | 2.44 (1.88) | 551 | 56,602 |
TCGA-PAAD | 0.46 (0.88) | 181 | 56,602 |