Data Science, Machine Learning, Statistics, Deep Dives, Probability.
sizes. Image by author. You can see that with 1,000 samples, the calibration is poor. However, once you pass 10,000 samples, more data does not significantly improve the calibration. Note that this effect depends on the dynamics of your data; you might need more or fewer data in your use case.