G2M Insights

Provides a list of algorithms with a brief summary for each of the main machine learning algorithms used for propensity modeling

Which algorithm should I pick for my propensity model?

This article briefly discusses what SMOTE preprocessing is.

This article discusses how to interpret error metrics when building a propensity model in the G2M platform

This article briefly discusses what a confusion matrix is

This article briefly discusses what an ROC curve is

This article discusses how to interpret the propensity bin comparison chart when running a propensity model in the G2M platform

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