Underfitting: Difference between revisions
Thakshashila (talk | contribs) Created page with "= Underfitting = '''Underfitting''' occurs when a machine learning model is too simple to capture the underlying pattern in the data, resulting in poor performance on both training and unseen data. == What is Underfitting? == Underfitting means the model fails to learn enough from the training data. It shows high errors during training and testing because it cannot capture important trends. == Causes of Underfitting == * '''Model Too Simple:''' Using a linear model..." |
Thakshashila (talk | contribs) |
||
| Line 47: | Line 47: | ||
underfitting in machine learning, underfitting meaning, causes of underfitting, underfitting vs overfitting, fixing underfitting, model complexity, machine learning errors | underfitting in machine learning, underfitting meaning, causes of underfitting, underfitting vs overfitting, fixing underfitting, model complexity, machine learning errors | ||
[[Category:Artificial Intelligence]] | |||