CLASSIFICATION REPORT with Scikit-Learn (Python) - sklearn.metrics.classification_report

In this tutorial, you will learn how to use the classification report in python using Scikit-Learn. Original Tutorial: https://www.jcchouinard.com/classification-report-in-scikit-learn/ ## What is a Classification Report A Classification Report is used to compute the accuracy of a classification model based on the values from the confusion matrix. ### Sklearn `classification_report()` In Scikit-learn, `classification_report()` function from `sklearn.metrics` module is used to return a classification report. from sklearn.metrics import classification_report print(classification_report(y_test, y_pred)) ----- Install Python: - MacOS: https://www.jcchouinard.com/install-python-on-macos/ - Windows: https://www.jcchouinard.com/install-python-on-windows/