Classification, Prediction, Model Accuracy, Training Data, Artificial Intelligence.
recommendations based on your preferences. But Wait, There’s More! While supervised learning reigns supreme, it’s not without its challenges. It heavily relies on labeled data, which can be scarce or expensive to obtain. Plus, if the training data is biased or incomplete, the model might mirror