1. General Information

1.01 Standard version

0.4

1.10 Name

1.20 Purpose

1.30 Date

1.40 Contributors

1.50 Source code

2. Initial Data

2.10 Sample

2.20 Size

2.30 Variables description

2.40 Dataset unique signature

3. Data Preparation

3.10 Rows filtering

3.20 Columns filtering

3.30 Missing values handling

3.40 Dataset unique signature

4. Features Engineering

4.10 Created variables

4.20 Target creation

4.30 Dataset unique signature

5. Training Data Audit

5.10 Descriptive statistics

6. Model Description

6.10 Used algorithm

6.11 Environmental impact

6.20 Metrics

6.30 Validation strategy

6.40 Performance

6.41 Performance over protected groups

6.50 Model unique signature

7. Model Audit

7.10 Features importance

7.20 Learning curve

7.30 Stability over time

7.40 Predictions distribution