machine learning

What is underfitting and how can it impact a model’s performance?

Bynajib

In Machine Learning (ML) and Artificial Intelligence (AI), underfitting is a big problem. It happens when a model is too simple to understand the data’s complexity. This leads to poor performance on both training and testing datasets because of high bias. High bias in an underfit model means it makes wrong predictions, especially on new…

Bias-Variance Tradeoff

What is the bias-variance tradeoff in machine learning?

Bynajib

The bias-variance tradeoff is a core idea in machine learning. It helps us understand why models make mistakes. By understanding bias and variance, we can find the perfect balance. This leads to models that work well on both training and testing data. In this article, we’ll explore bias and variance in detail. We’ll also look…