│   env.yml: environment file (under Windows 10) for Conda. Use this to generate a working environment
│
├───evsi: scripts/data related to EVSI portion of this project
│   │   get_EVSI.ipynb
│   │   get_models.ipynb
│   │   ranking_and_correlation.ipynb
│   │   sensitivity_analysis.ipynb
│   │   training_and_evsi_fs.ipynb
│   │
│   ├───backup: results of each run of `training_and_evsi_fs.ipynb`.
│   ├───dataset: raw data of the TE dataset
│   ├───log: relevant metrics generated after the current run
│   │       acc.csv
│   │       acc_improvement.csv
│   │       sensitivity_analysis.csv
│   │       sensor_selection.csv
│   │
│   └───models: frozen LSTM models saved after the current run
│       ├───evsi: models trained for EVSI purpose
│       └───ml: models trained for forward stepwise selection purpose
|
└───ml
    │   LSTM_RandomForest.ipynb
    │   LSTM_workflow.ipynb
    │   README.md
    │   visulization.ipynb
    │
    ├───dataset: raw data of the TE dataset
    ├───models: frozen LSTM models that are used to pick the top 10 impactful features
    └───plots: plots generated to demonstrate the 10 most impactful features
            test_advantage.png
            validation_advantage.png