Confusion Matrix: A Clear Way to Visualize Model Performance in Classification
A confusion matrix is a powerful tool used to evaluate the performance of classification models. It provides a clear and …
model performance
Enhancing Model Performance and Interpretability with Feature Selection Methods
Feature selection is a crucial step in data science that involves selecting the most relevant features from a dataset to …