# An Evaluation System

## An Evaluation System

- [An Evaluation System for Interpretable Machine Learning](https://subramanian-pr.gitbook.io/research-paper/readme.md): A book on the research of the Evaluation Systems for Interpretable Models
- [1. Abstract](https://subramanian-pr.gitbook.io/research-paper/untitled.md): Abstract of the book
- [2. Introduction](https://subramanian-pr.gitbook.io/research-paper/2.-introduction.md): Introduction to Interpretable Models and Evaluation Systems
- [3. Interpretable Machine Learning](https://subramanian-pr.gitbook.io/research-paper/3.-interpretable-machine-learning.md)
- [3.1 Definition](https://subramanian-pr.gitbook.io/research-paper/3.-interpretable-machine-learning/3.1-definition.md)
- [3.2 Methods](https://subramanian-pr.gitbook.io/research-paper/3.-interpretable-machine-learning/3.2-method.md)
- [3.2.1 Machine Learning Model](https://subramanian-pr.gitbook.io/research-paper/3.-interpretable-machine-learning/3.2-method/3.2.1-machine-learning-model.md)
- [3.2.2 Model-Agnostic](https://subramanian-pr.gitbook.io/research-paper/3.-interpretable-machine-learning/3.2-method/3.2.2-model-agnostic.md)
- [3.2.3 Sample Theory](https://subramanian-pr.gitbook.io/research-paper/3.-interpretable-machine-learning/3.2-method/3.2.3-sample-theory.md): Explains sampling theory and approach for doing it with a library h2o
- [4. Evaluation System of Interpretable Machine Learning](https://subramanian-pr.gitbook.io/research-paper/4.-evaluation-system-of-interpretable-machine-learning.md)
- [4.1 Definition](https://subramanian-pr.gitbook.io/research-paper/4.-evaluation-system-of-interpretable-machine-learning/4.1-definition.md)
- [4.2 The Structure of the Evaluation System](https://subramanian-pr.gitbook.io/research-paper/4.-evaluation-system-of-interpretable-machine-learning/4.2.1-the-structure-of-the-evaluation-system.md): Structure of the Evaluation System
- [4.2.1 Interpretable Models(Model specific)](https://subramanian-pr.gitbook.io/research-paper/4.-evaluation-system-of-interpretable-machine-learning/4.2.1-the-structure-of-the-evaluation-system/4.2.2-interpretable-models.md): Evaluation System for Interpretable Models
- [4.2.2 Model Agnostic](https://subramanian-pr.gitbook.io/research-paper/4.-evaluation-system-of-interpretable-machine-learning/4.2.1-the-structure-of-the-evaluation-system/4.2.3-model-specific.md)
- [4.2.3 Human Explanations](https://subramanian-pr.gitbook.io/research-paper/4.-evaluation-system-of-interpretable-machine-learning/4.2.1-the-structure-of-the-evaluation-system/4.2.4-human-explanations.md)
- [4.3 Reference Score Table](https://subramanian-pr.gitbook.io/research-paper/4.-evaluation-system-of-interpretable-machine-learning/4.3-reference-score-table.md)
- [5. Customized - Interpretable Machine Learning Model](https://subramanian-pr.gitbook.io/research-paper/5.-user-selection.md)
- [5.1 Why & How the user customize their model?](https://subramanian-pr.gitbook.io/research-paper/5.-user-selection/5.1-why-and-how-the-user-will-select-the-metrics.md)
- [5.2 Example](https://subramanian-pr.gitbook.io/research-paper/5.-user-selection/example.md)
- [5.2.1 Suggestion Lists](https://subramanian-pr.gitbook.io/research-paper/5.-user-selection/example/5.2.1-suggestion-list.md)
- [5.2.2 Notebook](https://subramanian-pr.gitbook.io/research-paper/5.-user-selection/example/5.2-example-notebook.md)
- [5.3 Results & Explanation](https://subramanian-pr.gitbook.io/research-paper/5.-user-selection/5.2-results.md): Results of the Notebook
- [6. Discussion](https://subramanian-pr.gitbook.io/research-paper/6.-conclusion.md)
- [7. Citation and License](https://subramanian-pr.gitbook.io/research-paper/7.-citation-and-license.md): References made while researching