A tutorial and position piece outlining guidelines for data splits, metric selection, and confidence intervals for ML systems, with speech processing examples.
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Good practices for evaluation of machine learning systems
A tutorial and position piece outlining guidelines for data splits, metric selection, and confidence intervals for ML systems, with speech processing examples.