Data & Analytics · By PKU-YuanGroup

Audit tabular datasets before analysis or training for schema drift, missing values, duplicate rows or IDs, target imbalance, and entity or group leakage across splits using pure-stdlib helpers.

PKU-YuanGroup/OpenAI4S

Evaluate binary classification or regression models with confusion-matrix metrics, tie-aware ROC AUC, regression errors, and deterministic bootstrap confidence intervals; emphasizes held-out data…

PKU-YuanGroup/OpenAI4S

Plan reproducible machine-learning experiments with leakage-safe random, grouped, or chronological splits; deterministic configuration fingerprints; dataset checksums; seeds, baselines, ablations…

PKU-YuanGroup/OpenAI4S

Turn free-text rows into calibrated numeric features with TypeSafe Jev, then model them on a leakage-safe development split.

PKU-YuanGroup/OpenAI4S