It’s worth using Laplace’s Rule of Succession, so something that worked for 3⁄3 people would be listed as 80% instead of 100%.
Might this be one of those cases where the full Bayesian treatment can be used? Using an occamanian prior over functions over your-featuresspace generated by some ML model?
It’s worth using Laplace’s Rule of Succession, so something that worked for 3⁄3 people would be listed as 80% instead of 100%.
Might this be one of those cases where the full Bayesian treatment can be used? Using an occamanian prior over functions over your-featuresspace generated by some ML model?