PyCM
Evaluate the performance of ML algorithms
The outputs and results of machine learning algorithms are usually in the form of confusion matrices. PyCM is an open source python library for evaluating, quantifying, and reporting the results of machine learning algorithms systematically. PyCM provides a wide range of confusion matrix evaluation metrics to process and evaluate the performance of machine learning algorithms comprehensively. This open source library allows users to compare different algorithms in order to determine the optimal one based on their preferences and priorities. In addition, the evaluation can be reported in different formats. PyCM has been widely used as a standard and reliable post-processing tool in the most reputed open-source AI projects like TensorFlow similary, Google's scaaml, torchbearer, and CLaF.
- The project's own website:https://www.pycm.io
This project was funded through theNGI Assure Fund, a fund established byNLnet with financial support from the European Commission'sNext Generation Internet programme, under the aegis ofDG Communications Networks, Content and Technology under grant agreement No957073.
