Develop a Model for the Imbalanced Classification of Good and Bad Credit - MachineLearningMastery.com
Misclassification errors on the minority class are more important than other types of prediction errors for some imbalanced classification tasks. One example is the problem of classifying bank cust...
Source: MachineLearningMastery.com
Misclassification errors on the minority class are more important than other types of prediction errors for some imbalanced classification tasks. One example is the problem of classifying bank customers as to whether they should receive a loan or not. Giving a loan to a bad customer marked as a good customer results in a greater […]