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README.md
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# Predictive Maintenance – Gradient Boosting Model
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## Model Overview
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- Threshold selection may require calibration based on operational risk tolerance
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## Model Artifacts
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The repository contains a serialized `joblib` model file that can be loaded directly for inference in Python-based environments.
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---
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language:
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- en
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license: apache-2.0
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tags:
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- tabular-classification
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- gradient-boosting
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- predictive-maintenance
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- scikit-learn
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library_name: sklearn
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datasets:
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- engine-sensor-data # Replace with your actual dataset name if known
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metrics:
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- recall
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- roc_auc
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- pr_auc
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---
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# Predictive Maintenance – Gradient Boosting Model
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## Model Overview
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- Threshold selection may require calibration based on operational risk tolerance
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## Model Artifacts
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The repository contains a serialized `joblib` model file that can be loaded directly for inference in Python-based environments.
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