Coursework Project for Applied Machine Learning for Mechanical Engineers
Fusion of data from Multiple sensors to detect fire using AutoML
The dataset consists of 7 sensors and timestamps. The sensors are:
- Temperature
- Humidity
- Pressure
- VOC
- Carbon Di Oxide
- Hydrogen and Ethanol concentration
- Particulate Matter concentration
AutoML is a process of automating the end-to-end machine learning process. It includes:
- Data preprocessing
- Feature engineering
- Model selection
- Hyperparameter tuning
- Model deployment
| Best Learner | LGBM (Decision Tree) |
| Time for finding Best Model | 5.19 Seconds |
| Best Model Accuracy | 99.98% |
| Training Time | 0.053 Seconds |
| Final Learning Rate | 0.09 |
| Best Model Type | Ensemble |
| Models Used | Xgboost(4) and Neural Network(1) |
| Accuracy | 99.98% |
| Training Time | 1.83 Secs |
