Month: September 2016

Predictive modeling use-cases can be separated into 2 broad types: Those where prediction itself is the prize. Accuracy tends to be paramount for such uses-cases and directly proportional to the value of the model (e.g. computer vision, direct mail targeting, high-frequency trading, lift modeling etc.) Those where insights into the relationship between predictor and response…