| language: en | |
| tags: | |
| - machine-learning | |
| - classification | |
| - predictive-maintenance | |
| - engine-condition | |
| - scikit-learn | |
| license: apache-2.0 | |
| datasets: | |
| - dhani10/engine-condition-dataset | |
| # Engine Condition Model | |
| This repository hosts a scikit-learn pipeline for predicting engine condition (0=Normal, 1=Faulty) from six sensor readings: | |
| - `Engine rpm` | |
| - `Lub oil pressure` | |
| - `Fuel pressure` | |
| - `Coolant pressure` | |
| - `lub oil temp` | |
| - `Coolant temp` | |
| **Default artifact path expected by apps:** `best_engine_model.joblib` | |
| > Note: If you see this message and you're just testing the deployment flow, the model may be a small placeholder trained on synthetic data so the app can run end-to-end. | |