Data used to teach and refine machine learning models.
More about Training Data:
Training Data is a dataset used to train machine learning models. It provides known inputs and outputs, allowing the model to learn over time. The quality and quantity of training data directly influence the performance and accuracy of the resulting model.
The better the training data represents real-world situations, the better the model will perform on unseen or new data.
Frequently Asked Questions
Why is the quality of Training Data important?
Quality training data ensures that the machine learning model can learn the underlying patterns effectively. Poor quality or biased data can lead to inaccurate or skewed model predictions.
How is Training Data different from Test Data?
Training Data is used to train the model, while Test Data is used to evaluate the model's performance on unseen data. Test Data should not be used in the training phase to ensure a fair assessment of the model's capabilities.
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