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uncledecart
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fed-turbofan-fe

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Feature Engineered version of this dataset. Key differences:

GBDT feature selection (selected on train data, target is rul, threshold is 0.01, lightgbm.LGBMRegressor is used)
Sensor-wise z_score and min_max normalisation (effectively just min_max, applied z_score as in this paper)

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