Classification In Machine Learning
Classification in machine learning is a supervised learning approach in which computer programs try to classify categorical data by observing and learning from observations...
How to use Confusion Matrix in Scikit-Learn (with Python Example)
The confusion matrix is often used in machine learning to compute the accuracy of a classification algorithm. It can be used in binary classifications...
How to use Classification Report in Scikit-learn (Python)
The classification report is often used in machine learning to compute the accuracy of a classification model based on the values from the confusion...
