Category: model-calibration
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How to Measure Real Model Accuracy When Labels Are Noisy
How to Measure Real Model Accuracy When Labels Are Noisy Ground truth is never perfect. From scientific measurements to human annotations used to train deep learning models, ground truth always has some amount of errors. ImageNet, arguably the most well-curated image dataset has 0.3% errors in human annotations. Then, how can we evaluate predictive models…
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Understanding Model Calibration: A Gentle Introduction & Visual Exploration
Understanding Model Calibration: A Gentle Introduction & Visual Exploration How Reliable Are Your Predictions? About To be considered reliable, a model must be calibrated so that its confidence in each decision closely reflects its true outcome. In this blog post we’ll take a look at the most commonly used definition for calibration and then dive…
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Model Calibration, Explained: A Visual Guide with Code Examples for Beginners
Model Calibration, Explained: A Visual Guide with Code Examples for Beginners MODEL EVALUATION & OPTIMIZATION When all models have similar accuracy, now what? You’ve trained several classification models, and they all seem to be performing well with high accuracy scores. Congratulations! But hold on — is one model truly better than the others? Accuracy alone doesn’t tell the…