Data Skeptic
Data Skeptic
Jul 25, 2014
[MINI] Cross Validation
Play

This miniepisode discusses the technique called Cross Validation - a process by which one randomly divides up a dataset into numerous small partitions. Next, (typically) one is held out, and the rest are used to train some model. The hold out set can then be used to validate how good the model does at describing/predicting new data.

More episodes
Search
Clear search
Close search
Google apps
Main menu