---
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.'
---