Python script for generating confusion matrix heatmap using Seaborn and Matplotlib

Autor:	Cheishvili David
Rok vydání:	2023
Předmět:	Confusion matrix Data visualization Classification analysis Numpy Pandas Heatmap Seaborn Matplotlib
DOI:	10.5281/zenodo.7823381
Popis:	This Python script generates a confusion matrix heatmap from an array of classification data using the numpy, pandas, seaborn, and matplotlib libraries. The script defines the confusion matrix data and class labels, creates a pandas dataframe, and generates a heatmap with annotations and rotated axis labels. This script may be useful for researchers and practitioners working in the field of classification analysis and data visualization
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54879b9da1eba4076eddb28a4a18a82a Zobrazit plný text záznamu