Get to know Overfitting better with 3 real example sentences, the meaning.
Overfitting in a sentence
Overfitting meaning
present participle and gerund of overfit
Using Overfitting
- The main meaning on this page is: present participle and gerund of overfit
- In the example corpus, overfitting often appears in combinations such as: prevent overfitting.
Context around Overfitting
- Average sentence length in these examples: 26.3 words
- Position in the sentence: 1 start, 2 middle, 0 end
- Sentence types: 3 statements, 0 questions, 0 exclamations
Corpus analysis for Overfitting
- In this selection, "overfitting" usually appears in the middle of the sentence. The average example has 26.3 words, and this corpus slice is mostly made up of statements.
- Around the word, prevent, given and issues stand out and add context to how "overfitting" is used.
- Recognizable usage signals include given overfitting issues with and to prevent overfitting as well. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "overfitting" sits close to words such as aaaaand, aaah and aacl, which helps place it inside the broader word index.
Example types with overfitting
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
Structural risk minimization Structural risk minimization seeks to prevent overfitting by incorporating a regularization penalty into the optimization. (18 words)
Given overfitting issues with small samples, and the inability of other research teams to achieve such results in larger samples, it may not replicate. (24 words)
In practice, there are several approaches to alleviate noise in the output values such as early stopping to prevent overfitting as well as detecting and removing the noisy training examples prior to training the supervised learning algorithm. (37 words)
In practice, there are several approaches to alleviate noise in the output values such as early stopping to prevent overfitting as well as detecting and removing the noisy training examples prior to training the supervised learning algorithm. (37 words)
Given overfitting issues with small samples, and the inability of other research teams to achieve such results in larger samples, it may not replicate. (24 words)
Structural risk minimization Structural risk minimization seeks to prevent overfitting by incorporating a regularization penalty into the optimization. (18 words)
Example sentences (3)
Given overfitting issues with small samples, and the inability of other research teams to achieve such results in larger samples, it may not replicate.
In practice, there are several approaches to alleviate noise in the output values such as early stopping to prevent overfitting as well as detecting and removing the noisy training examples prior to training the supervised learning algorithm.
Structural risk minimization Structural risk minimization seeks to prevent overfitting by incorporating a regularization penalty into the optimization.
Common combinations with overfitting
These word pairs occur most frequently in English texts: