Microsoft
DP-100 · Question #91
You create a classification model with a dataset that contains 100 samples with Class A and 10,000 samples with Class B The variation of Class B is very high. You need to resolve imbalances. Which met
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Design and prepare a machine learning solution
Question
You create a classification model with a dataset that contains 100 samples with Class A and 10,000 samples with Class B The variation of Class B is very high. You need to resolve imbalances. Which method should you use?
Options
- APartition and Sample
- BCluster Centroids
- CTomek links
- DSynthetic Minority Oversampling Technique (SMOTE)
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Topics
#Imbalanced datasets#Oversampling#SMOTE#Data preparation