Python script for generating confusion matrix heatmap using Seaborn and Matplotlib
Autor: | Cheishvili David |
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Rok vydání: | 2023 |
Předmět: | |
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: |