Robotics & Artificial Intelligence
Answer
Supervised learning is a type of machine learning in which the model is trained using a labelled dataset, where both the input data and the correct output are known.
The data is divided into training data and test data. The training data is used to train the model, while the test data is used to check how accurately the model predicts the output for new data.
In supervised learning, the model learns from known results and then predicts the correct output for unseen inputs with good accuracy.
Related Questions
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