subsampling

we performed subsampling to reduce the dataset size for faster training.

subsampling audio data can help reduce storage requirements.

the researchers used subsampling to analyze a large population sample.

subsampling the video frames improved the processing speed significantly.

random subsampling is a common technique in machine learning.

stratified subsampling ensures representation of all subgroups.

subsampling the data helped mitigate the overfitting problem.

the algorithm employed subsampling to handle the imbalanced dataset.

we conducted subsampling based on the frequency of the features.

subsampling can introduce bias if not done carefully.

the goal of subsampling was to create a more manageable dataset.