Five Effects of Prediction
1. The Prediction Effect: A little prediction goes a long way. See the Introduction and Chapter 1.
2. The Data Effect: Data is always predictive. See Chapter 3.
3. The Induction Effect: Art drives machine learning; when followed by computer programs, strategies designed in part by informal human creativity succeed in developing predictive models that perform well on new cases. See Chapter 4.
4. The Ensemble Effect: When joined in an ensemble, predictive models compensate for one another’s limitations, so the ensemble as a whole is more likely to predict correctly than its component models are. See Chapter 5.
5. The Persuasion Effect: Although imperceivable, the persuasion of an individual can be predicted by uplift modeling, predictively modeling across two distinct training data sets that record, respectively, the outcomes of two competing treatments. See Chapter 7.