arjun10g
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na-tech-jobs-salary-v1

salary-prediction

Eval Results (legacy)

Model card Files Files and versions

na-tech-jobs-salary-v1

11.3 MB

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1 contributor

History: 2 commits

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v1 :: winning tier = tier5_xgboost_optuna, MAE ≈ 29091 USD/yr

dae4f6c verified about 1 month ago

artifacts
v1 :: winning tier = tier5_xgboost_optuna, MAE ≈ 29091 USD/yr about 1 month ago
.gitattributes

1.52 kB
initial commit about 1 month ago
README.md

7.27 kB
v1 :: winning tier = tier5_xgboost_optuna, MAE ≈ 29091 USD/yr about 1 month ago
ladder_report.json

2.23 kB
v1 :: winning tier = tier5_xgboost_optuna, MAE ≈ 29091 USD/yr about 1 month ago
leaderboard.csv

709 Bytes
v1 :: winning tier = tier5_xgboost_optuna, MAE ≈ 29091 USD/yr about 1 month ago
salary_predictor.joblib
Detected Pickle imports (19)
- "models.salary.encode.TechStackEncoder",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "models.salary.encode.ListMultiHotEncoder",
- "FittedEncoder.dtype",
- "models.salary.encode.DatetimeFeaturizer",
- "sklearn.preprocessing._data.StandardScaler",
- "sklearn.compose._column_transformer.ColumnTransformer",
- "sklearn.preprocessing._encoders.OneHotEncoder",
- "models.salary.encode._BooleanCleaner",
- "sklearn.pipeline.Pipeline",
- "sklearn.preprocessing._encoders.OrdinalEncoder",
- "numpy.ndarray",
- "models.salary.encode.TriStateOneHot",
- "numpy.dtype",
- "numpy.float64",
- "numpy._core.multiarray._reconstruct",
- "models.salary.encode.FittedEncoder",
- "sklearn.impute._base.SimpleImputer",
- "sklearn.preprocessing._target_encoder.TargetEncoder"
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v1 :: winning tier = tier5_xgboost_optuna, MAE ≈ 29091 USD/yr about 1 month ago