https://github.com/yisaienkov/evaluations
This library implements various metrics (including Kaggle Competition, Medicine) for evaluating ML, DL, AI models, and algorithms. 📐📊📈📉📏
https://github.com/yisaienkov/evaluations
evaluations kaggle kaggle-competition metrics metrics-library pypi python python-library python3
Last synced: 6 months ago
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This library implements various metrics (including Kaggle Competition, Medicine) for evaluating ML, DL, AI models, and algorithms. 📐📊📈📉📏
- Host: GitHub
- URL: https://github.com/yisaienkov/evaluations
- Owner: yisaienkov
- License: mit
- Created: 2020-08-03T09:19:34.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2022-12-08T11:21:41.000Z (almost 3 years ago)
- Last Synced: 2025-03-26T23:11:18.708Z (7 months ago)
- Topics: evaluations, kaggle, kaggle-competition, metrics, metrics-library, pypi, python, python-library, python3
- Language: Python
- Homepage:
- Size: 69.3 KB
- Stars: 14
- Watchers: 1
- Forks: 1
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Evaluations
[](https://badge.fury.io/py/evaluations)
[](https://evaluations.readthedocs.io/en/latest/?badge=latest)
* The library implements various metrics for evaluating machine learning algorithms
* Includes some of the [Kaggle Competitions](https://www.kaggle.com/competitions) metrics.
## Table of contents
- [How to use](#how-to-use)
- [Installation](#installation)
- [PyPI](#pypi)
- [Documentation](#documentation)
- [Authors](#authors)
## How to use
```
>>> from evaluations.classification import confusion_matrix_binary
>>> confusion_matrix_binary([1, 1, 0, 0], [1, 0, 0, 1])
{'tp': 1, 'tn': 1, 'fp': 1, 'fn': 1}
```
## Installation
### PyPI
You can use pip to install evaluations:
```
pip install evaluations
```
You can clone and install the latest version of the library from GitHub:
```
pip install -U git+https://github.com/yisaienkov/evaluations
```
## Documentation
The full documentation is available at [https://evaluations.readthedocs.io/](https://evaluations.readthedocs.io/).
## Authors
[Yaroslav Isaienkov](https://www.linkedin.com/in/yisaienkov/)