Choose that following statement is true or false: True error is defined over the entire instance space, and not just over training dataTrueFalse

Analysis of the Statement

1. Definition of True Error:

   • True error is the measure of how well a classification model performs on the entire instance space. It considers how well the model can generalize to unseen data rather than just evaluating its performance on the training dataset.

2. Instance Space vs. Training Data:

   • The instance space refers to all possible input scenarios or instances that a model might encounter. In contrast, training data is the specific subset of the instance space that the model learns from.

3. Conclusion:

   • Given that true error assesses the model's performance across the complete instance space, and not limited to training data alone, the statement correctly represents this definition.

Final Answer

True: True error is defined over the entire instance space, and not just over training data.