Train / validation / test
The only way to get an honest grade for a model. And why you may touch the test set only once.
2 steps
95 XP
A free account is needed
Start the lesson →
Sources
- Kohavi, R. 1995 · A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection · IJCAI 1995
- Dietterich, T. G. 1998 · Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms · Neural Computation, 10(7)
ML Academy · an interactive machine learning course that runs in your browser ·
All lessons