README.md

metadata

license: cdla-permissive-2.0
task_categories:
  - tabular-classification
pretty_name: cptac_survival
tags:
  - tabular
  - proteomics
  - binary
  - Biomedical
  - Benchmark
  - clinical
configs:
  - config_name: cptac_survival
    data_files:
      - split: fold_0_train
        path: data/fold_0/train.parquet
      - split: fold_0_validation
        path: data/fold_0/val.parquet
      - split: fold_0_test
        path: data/fold_0/test.parquet
      - split: fold_1_train
        path: data/fold_1/train.parquet
      - split: fold_1_validation
        path: data/fold_1/val.parquet
      - split: fold_1_test
        path: data/fold_1/test.parquet
      - split: fold_2_train
        path: data/fold_2/train.parquet
      - split: fold_2_validation
        path: data/fold_2/val.parquet
      - split: fold_2_test
        path: data/fold_2/test.parquet
      - split: fold_3_train
        path: data/fold_3/train.parquet
      - split: fold_3_validation
        path: data/fold_3/val.parquet
      - split: fold_3_test
        path: data/fold_3/test.parquet
      - split: fold_4_train
        path: data/fold_4/train.parquet
      - split: fold_4_validation
        path: data/fold_4/val.parquet
      - split: fold_4_test
        path: data/fold_4/test.parquet
dataset_info:
  description: >-
    Sample-level binary classification task predicting survival status in CPTAC
    UCEC patients. Features are quantitative mass-spectrometry proteomics
    profiles (umich platform). Label: 'Survival status' (1 = dead, 0 = alive).
    Missing proteomic values are imputed with the per-protein column mean.
    Samples without a recorded survival status are excluded.