The underfitting
Example: Underfitting occurs when model fails to capture underlying data patterns
Definition
"The underfitting" refers to a situation in machine learning and statistics where a model is too simple to capture the underlying patterns in the data, resulting in poor performance on both training and new data sets. It occurs when the model fails to learn enough from the data.
Etymology
The term "the underfitting" comes from the combination of "under-" meaning insufficient or too little, and "fitting" referring to how well a model fits data. It originates from statistical modeling and machine learning jargon, highlighting when a model fits data inadequately. Did you know? The opposite of underfitting is overfitting, where the model fits data too closely.
Learn to use this word actively
"The underfitting" appears in the Vocaplus list "English - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
Would you like to not only understand these words, but also remember them and use them actively? Create a free account and select as the language you want to learn.
Create a free account
