> For the complete documentation index, see [llms.txt](https://subramanian-pr.gitbook.io/research-paper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://subramanian-pr.gitbook.io/research-paper/readme.md).

# An Evaluation System for Interpretable Machine Learning

![An Evaluation System](/files/-MEYLlMrVeZMwxGl4zIG)

## Authors:

**Prabhu Subramanian** - [**LinkedIn**](https://www.linkedin.com/in/prabhu-subramanian/) **|** [**GitHub**](https://github.com/prabhuSub)

*(MS in Information Systems student at Northeastern University College of Engineering, Boston)*

## **Mentor:**

**Nicholas Brown
 -** [**LinkedIn**](https://www.linkedin.com/in/nikbearbrown/) **|** [**GitHub**](https://github.com/nikbearbrown)

*(Assistant Teaching Professor,  Multidisciplinary Graduate Engineering Programs, Northeastern University)*

## The Evaluation System of Interpretable Machine Learning

### 1. [Abstract](/research-paper/untitled.md)

### 2. [Introduction](/research-paper/2.-introduction.md)

### 3. [Interpretable Machine Learning](/research-paper/3.-interpretable-machine-learning.md)

#### 3.1 [Definition](/research-paper/3.-interpretable-machine-learning/3.1-definition.md)

#### 3.2 [Method](/research-paper/3.-interpretable-machine-learning/3.2-method.md)

* [**3.2.1 Machine Learning Model**](/research-paper/3.-interpretable-machine-learning/3.2-method/3.2.1-machine-learning-model.md)
* [**3.2.2 Model-Agnostic**](/research-paper/3.-interpretable-machine-learning/3.2-method/3.2.2-model-agnostic.md)
* [**3.2.3 Sample Theory**](/research-paper/3.-interpretable-machine-learning/3.2-method/3.2.3-sample-theory.md)

### 4. [Evaluation System of Interpretable Machine Learning](/research-paper/4.-evaluation-system-of-interpretable-machine-learning.md)

#### 4.1 [Definition](/research-paper/4.-evaluation-system-of-interpretable-machine-learning/4.1-definition.md)

#### 4.2 [The Structure of the Evaluation System](/research-paper/4.-evaluation-system-of-interpretable-machine-learning/4.2.1-the-structure-of-the-evaluation-system.md)

* [**4.2.1 Interpretable models(Model-Specific)**](/research-paper/4.-evaluation-system-of-interpretable-machine-learning/4.2.1-the-structure-of-the-evaluation-system/4.2.2-interpretable-models.md)
* [**4.2.2 Model-Agnostic**](/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**](/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](/research-paper/4.-evaluation-system-of-interpretable-machine-learning/4.3-reference-score-table.md)

### 5. [Customized - Interpretable Machine Learning Model](/research-paper/5.-user-selection.md)

#### 5.1[ ](/research-paper/5.-user-selection/5.1-why-and-how-the-user-will-select-the-metrics.md)[Why & How the user customize their model?](/research-paper/5.-user-selection/5.1-why-and-how-the-user-will-select-the-metrics.md)

#### 5.2 [Example](/research-paper/5.-user-selection/example.md)

* [**5.2.1 Suggestion Lists**](/research-paper/5.-user-selection/example/5.2.1-suggestion-list.md)
* [**5.2.2 Notebook**](/research-paper/5.-user-selection/example/5.2-example-notebook.md)

#### 5.3 [Results & Explanation](/research-paper/5.-user-selection/5.2-results.md)

### 6. [Discussion](/research-paper/6.-conclusion.md)

### 7. [Citation and License](/research-paper/7.-citation-and-license.md)