Definitions from Wikipedia (Oversampling and undersampling in data analysis)

▸ noun:  Within statistics, oversampling and undersampling in data analysis are techniques used to adjust the class distribution of a data set (i.e. the ratio between the different classes/categories represented).


▸ Words similar to Oversampling and undersampling in data analysis
▸ Usage examples for Oversampling and undersampling in data analysis

▸ Idioms related to Oversampling and undersampling in data analysis
▸ Wikipedia articles (New!)
▸ Words that often appear near Oversampling and undersampling in data analysis
▸ Rhymes of Oversampling and undersampling in data analysis

▸ Invented words related to Oversampling and undersampling in data analysis