Testing data is a subset of a dataset used to evaluate the performance of a machine learning model, ensuring that it generalizes well to unseen data. It is crucial for assessing the model's accuracy and robustness, and should be kept separate from training and validation datasets to avoid overfitting.

Testing Data

Testing data

subset of a dataset

evaluate the performance

machine learning model

generalizes well

unseen data

assessing the model's accuracy

Model's robustness

Training Datasets

validation datasets

avoid overfitting

Understanding the Importance of Test Data in Software Testing

Types of Machine Learning

Relevant Degrees

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