Gold standard is a particular case of external criterion.
Gold standard data science.
This talk describes our.
Stories by matt 0 on medium.
If good quality single crystals of approximately 200 micrometers in size are grown then an atomic map can be constructed of the crystal lattice.
The gold standard of data science project management was originally published in towards data science on medium where people are continuing the conversation by highlighting and responding to this story.
This is the gold standard for crystal structure analysis.
A number of other great resources i d read in the past 1 2 3 4 inspired me to create a github repo for a gold standard workflow for setting up a new data science project directory.
The first stage in a data science project is often to collect training data.
The same software the same software environment the same hardware the same lighting in the room let s say.
Well gold standard is usually a dataset or a set of results which serves as the.
Is really the appropriate form for reproducible data science.
However getting a good data set is surprisingly tricky and takes longer than one expects.
Jenny bryan a statistician and data scientist from ubc who has strong views on the proper layout of r scripts workflows and file organization naming said it.
Other times a gold standard is the most accurate test possible without restrictions.
Okay so i would claim that the gold standard for reproducibility is that others can use your exact environment as it was at the time of the experiment.
A gold standard is a monetary system in which the standard economic unit of account is based on a fixed quantity of gold.
In medicine and statistics a gold standard test is usually the diagnostic test or benchmark that is the best available under reasonable conditions.
A statistical or machine learning algorithm wants to predict a criterion which state isn t dependent on the algorithm otherwise criterion is contaminated.
The gold standard was widely used in the 19th and early part of the 20th century.