PROJECT_STRUCTURE

/ (Root Directory)                                      # The main folder of the project.
│
├── best_models/                                        # Contains the best-performing models.        
│   ├── HistGradientBoosting.ipynb                          # Notebook for HistGradientBoosting model.
│   ├── RandomForest_with_partition.ipynb                   # Notebook for Random Forest with partitions.
│   └── Summary_Results.txt                                 # Text file summarizing key results.
│
├── data/                                               # Stores project data.
│   ├── gold/                                               # Final, processed datasets.
│   └── raw/                                                # Unprocessed, raw data.
│                                  
├── EDAs/                                               # Notebooks for exploratory data analysis (EDA).
│   ├── Exploratory data analysis_changes.ipynb             # Updated or modified analysis.
│   └── Exploratory data analysis.ipynb                     # Initial EDA notebook.
│
├── other_models/                                       # Notebooks for additional models.
│   ├── Decision Tree imputation.ipynb                      # Decision Tree with data imputation.
│   ├── Decision Tree.ipynb                                 # Basic Decision Tree model.
│   ├── KNN(Estimators).ipynb                               # K-Nearest Neighbors model.
│   ├── LogisticRegression.ipynb                            # Logistic Regression model.
│   └── RandomForest.ipynb                                  # Random Forest model.
│
├── profiling/                                          # Contains profiling results.
│   └── report.html                                         # HTML file with data profiling report.
│
├── results/                                            # Outputs generated by models in CSV format.
│   ├──pred_decision_tree_impute_output.csv                 # Predictions from Decision Tree with imputation.
│   ├──pred_decision_tree_output.csv                        # Predictions from standard Decision Tree.
│   ├──pred_hist_gradient_boosting.csv                      # Predictions from HistGradientBoosting.
│   ├──pred_KNN_output.csv                                  # Predictions from KNN.
│   ├──pred_logistic_regression_output.csv                  # Predictions from Logistic Regression.
│   └──pred_random_forest_output.csv                        # Predictions from Random Forest.
│         
├── PROJECT_STRUCTURE.txt                               # This file explains the structure of the project, detailing the purpose of each folder and file for better understanding and navigation.
│  
└── README.md                                           # Project description.