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Data

Folder Contents In Git?
raw/ Your original CSV dataset (200K+ biometric records) No (ignored)
processed/ Held-out test set written by python -m src.train No (ignored)
sample/ sample_data.csv — synthetic demo data Yes

Using your dataset

  1. Copy your CSV into data/raw/.
  2. Run python -m src.train --data data/raw/<file>.csv --target <TARGET_COLUMN>.

The dataset must be a CSV with one column holding the risk category (the target) and feature columns. Numeric columns are detected automatically; all other columns are treated as categorical.

Dataset details (fill in)

  • Source: TODO
  • Number of records: 200K+ (as stated by the author)
  • Features: TODO
  • Target column and labels: TODO

About the sample data

sample/sample_data.csv is synthetic, created by python -m src.generate_sample_data (scikit-learn make_classification, 2,000 rows, 6 numeric features, 1 categorical column, ~2% missing values). Its columns and labels have no biometric meaning and it must not be presented as the project dataset.