Mazino Space

The imbalanced classification problem is what we face when there is a severe skew in the class distribution of our training data, such as 1:100 or 1:1000 examples in the minority class to the majority class. It can influence the performance on our machine learning algorithms. [Read More]

Classification metrics let you assess the performance of machine learning models but there are so many of them, each one has its own benefits and drawbacks, and selecting an evaluation metric that works for your problem can sometimes be really tricky. [Read More]