A Gentle Introduction to Threshold-Moving for Imbalanced Classification - MachineLearningMastery.com

Classification predictive modeling typically involves predicting a class label. Nevertheless, many machine learning algorithms are capable of predicting a probability or scoring of class membership...

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A Gentle Introduction to Threshold-Moving for Imbalanced Classification - MachineLearningMastery.com

Source: MachineLearningMastery.com

Classification predictive modeling typically involves predicting a class label. Nevertheless, many machine learning algorithms are capable of predicting a probability or scoring of class membership, and this must be interpreted before it can be mapped to a crisp class label. This is achieved by using a threshold, such as 0.5, where all values equal or […]