The confusion matrix we imported is a table that is often used to evaluate the performance of a machine learning algorithm. The matrix comprises four quadrants, each representing the predicted and ...

This advanced python project of detecting fake news deals with fake and real news. Using sklearn, we build a TfidfVectorizer on our dataset. Then, we initialize a PassiveAggressive Classifier and fit ...

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...

In the intricate world of machine learning model evaluation, the confusion matrix and classification report stand out. The confusion matrix, as I realized during a project, presents actual versus ...

A Practical Guide to Hybrid Ensemble Learning Models, With Python Code. You will learn how to create your own ensemble model. ... Different types of machine learning algorithms are grouped together in ...