Datasets:
Fix notebook links to point at the nafisat branch (main lacks these files)
Browse files
README.md
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@@ -71,10 +71,10 @@ Two versions of the same train/validation/test splits are available as separate
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- **`default`** (used automatically if you don't pass a config name): the cleaned,
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target-filtered, leakage-removed, imputed dataset from
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[`notebooks/00_cleaning.ipynb`](https://github.com/BuildersLab/Credit-Risk-Default/blob/
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before feature engineering. Files under `data/before_feature_engineering/`.
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- **`feature_engineered`**: the same splits after
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[`notebooks/02_feature_engineering.ipynb`](https://github.com/BuildersLab/Credit-Risk-Default/blob/
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(engineered features added, several raw columns consolidated or dropped).
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Files under `data/after_feature_engineering/`.
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@@ -87,7 +87,7 @@ after = load_dataset("BuildersLab/loan-application-dataset", "feature_engineere
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## Data Dictionary
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Reference files under `data_dictionary/`, produced while cleaning and engineering the LendingClub data (see [`notebooks/00_cleaning.ipynb`](https://github.com/BuildersLab/Credit-Risk-Default/blob/
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- **`data_dictionary_summary.csv`**: one row per column: `Variable`, `Description`
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(LendingClub's official column definition), `Missing Values` (count),
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- **`default`** (used automatically if you don't pass a config name): the cleaned,
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target-filtered, leakage-removed, imputed dataset from
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[`notebooks/00_cleaning.ipynb`](https://github.com/BuildersLab/Credit-Risk-Default/blob/nafisat/notebooks/00_cleaning.ipynb),
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before feature engineering. Files under `data/before_feature_engineering/`.
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- **`feature_engineered`**: the same splits after
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[`notebooks/02_feature_engineering.ipynb`](https://github.com/BuildersLab/Credit-Risk-Default/blob/nafisat/notebooks/02_feature_engineering.ipynb)
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(engineered features added, several raw columns consolidated or dropped).
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Files under `data/after_feature_engineering/`.
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## Data Dictionary
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Reference files under `data_dictionary/`, produced while cleaning and engineering the LendingClub data (see [`notebooks/00_cleaning.ipynb`](https://github.com/BuildersLab/Credit-Risk-Default/blob/nafisat/notebooks/00_cleaning.ipynb) and [`notebooks/02_feature_engineering.ipynb`](https://github.com/BuildersLab/Credit-Risk-Default/blob/nafisat/notebooks/02_feature_engineering.ipynb)), not Kaggle's raw column list. Each has a different schema, so each CSV is declared as its own config above (see `configs:` in the metadata) rather than being auto-merged.
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- **`data_dictionary_summary.csv`**: one row per column: `Variable`, `Description`
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(LendingClub's official column definition), `Missing Values` (count),
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