> For the complete documentation index, see [llms.txt](https://maheshwarappa-a.gitbook.io/explainable-ai-1/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://maheshwarappa-a.gitbook.io/explainable-ai-1/model-agonistic-methods.md).

# Explainability Techniques for Classical ML

Explainability of models on Tabular datasets

In this section onwards we will talk about the techniques used for explaining black-box models. To being with we will deal with classical ML models dealing with tabular datasets.

Tabular datasets are data structured into rows and columns, where each row contains the same number of cells or columns.