PyCM 2.2 released : A general benchmark based comparison of classification models
Sepand Haghighi <[email protected]> Fri, 31 May 2019 08:19:51 +0000 (UTC)
| Newsgroups | gmane.comp.python.scientific.user |
|---|---|
| Message-ID | <[email protected]> |
Hi folks Recently we have released new version of PyCM, library for confusion matrix statistical analysis. I thought you might find it interesting. http://www.pycm.ir https://github.com/sepandhaghighi/pycm Changelog : - Negative likelihood ratio interpretation (NLRI) added - Cramer's benchmark (SOA5) added - Matthews correlation coefficient interpretation (MCCI) added #204 - Matthews's benchmark (SOA6) added #204 - F1 macro added - F1 micro added - Accuracy macro added #205 - Compare class score calculation modified - Parameters recommendation for multi-class dataset modified - Parameters recommendation for imbalance dataset modified - README.md modified - Document modified - Logo updated Best RegardsSepand Haghighi _______________________________________________ SciPy-User mailing list [email protected] https://mail.python.org/mailman/listinfo/scipy-user