Stratified Sampling for Classification

Easy

machine-learning Microsoft Uber LinkedIn

Multiple Choice

Use a larger test set so the percentages balance out naturally Use stratified sampling to maintain the same class proportions in both splits Oversample the minority class in the test set only Shuffle the data multiple times before splitting

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