Binarize parameter in BernoulliNB scikit sets threshold for binarizing of sample features.

Related MCQs

• Binarize parameter in BernoulliNB scikit sets threshold for binarizing of sample features.
• scikit-learn also provides a class for per- sample normalization, Normalizer. It can apply              to each element of a dataset
• scikit-learn also provides a class for per- sample normalization,          
• scikit-learn also provides a class for per-sample normalization, Normalizer. It can apply________to each element of a dataset
• scikit-learn also provides a class for per-sample normalization,_____
• scikit-learn offers the class           , which is responsible for filling the holes using a strategy based on the mean, median, or frequency
• scikit-learn also provides functions for creating dummy datasets from scratch:
• In many classification problems, the target dataset is made up of categorical labels which cannot immediately be processed by any algorithm. An encoding is needed and scikit-learn offers at least         valid options
• scikit-learn also provides functions for creating dummy datasets from scratch:
• In many classification problems, the target dataset is made up of categorical labels which cannot immediately be processed by any algorithm. An encoding is needed and scikit-learn offers at least          valid options