
In the world of artificial intelligence and machine learning, labeled datasets play a crucial role. These datasets consist of input features and corresponding output labels, serving as essential resources for training and testing various machine learning models. By harnessing the power of labeled data, researchers and engineers can develop prediction functions that accurately classify, predict, or identify patterns in unseen










