Model Generalization
[AI Data](https://texonom.com/ai-data-dcd9611d8a5647ba95e7bc63a7e6db1f) [Loss Function](https://texonom.com/loss-function-e8f6343914494828988137987cf459f9) [Model Regularization](https://texonom.com/model-regularization-33936588cdef4041a94d0846c43ada98)


### model’s capability to adapt properly to new/unseen data
model complexity → high variance in test data
Model has family set of structure made by training datasets which can be
![](https://www.notion.so/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F9f406838-555a-42c5-8688-444bcbc4afa2%2FUntitled.png?table=block&id=c86e04a0-7611-4330-a922-a350c95636c3&cache=v2)
### Model Generalization Notion
|Title|
|:-:|
|[Pre Training](https://texonom.com/pre-training-0d81c286e86f4dcba940d3c849631b35)|
|[Overfitting](https://texonom.com/overfitting-24c3b183372845e8999ad7f7a0ba5035)|
|[Underfitting](https://texonom.com/underfitting-e56067d23ba8404a8e5165085986c9aa)|
|[Fine Tuning](https://texonom.com/fine-tuning-52215d8477ad46e3896a29e2fa408991)|
|[Generalization Gap](https://texonom.com/generalization-gap-d8b4ec347e7d4df282ea96a093e7581f)|








