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This library implements various metrics (including Kaggle Competition, Medicine) for evaluating ML, DL, AI models, and algorithms. πŸ“πŸ“ŠπŸ“ˆπŸ“‰πŸ“

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Evaluations

PyPI version Documentation Status

  • The library implements various metrics for evaluating machine learning algorithms
  • Includes some of the Kaggle Competitions metrics.

Table of contents

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/.

Authors

Yaroslav Isaienkov

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This library implements various metrics (including Kaggle Competition, Medicine) for evaluating ML, DL, AI models, and algorithms. πŸ“πŸ“ŠπŸ“ˆπŸ“‰πŸ“

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