docs: add roadmap to readme

Author: francescopisu

.gitignore

@@ -87,6 +87,8 @@ ipython_config.py
 # pyenv
 .python-version
 
+.vscode/
+
 # pipenv
 #   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
 #   However, in case of collaboration, if having platform-specific dependencies or dependencies

README.md

@@ -2,17 +2,16 @@
 
 Better insights into Machine Learning models performance.
 
-Modelsight is a collection of functions that create publication-ready graphics for the visual evaluation of your binary classifiers. 
+Modelsight is a collection of functions that create publication-ready graphics for the visual evaluation of binary classifiers adhering to the scikit-learn interface. 
 
-It is strongly oriented towards the evaluation of already fitted `ExplainableBoostingClassifier` of the [interpretml](https://github.com/interpretml/interpret) package.
+Modelsight is strongly oriented towards the evaluation of already fitted `ExplainableBoostingClassifier` of the [interpretml](https://github.com/interpretml/interpret) package.
 
 ## Installation
 ```console
 $ pip install modelsight
 ```
 
 ## Usage
-
 See the [example](/docs/example.ipynb) notebook. 
 
 ## Contributing
@@ -23,6 +22,13 @@ Interested in contributing? Check out the contributing guidelines. Please note t
 
 `modelsight` was created by Francesco Pisu. It is licensed under the terms of the GNU General Public License v3.0 license.
 
+## Roadmap
+- Features
+[] Average ROC and PR curves
+[] Feature importance (Global explanation)
+[] Individualized explanations (Local explanation)
+
+
 ## Credits
 
 `modelsight` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).