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Handle a regression problem inducing the model on pairs A,B of instances.
Last column of X is the continuous target. y is ignored.
Four modes are hipotetically possible, although only mode 'b' below is provided by now to ease compatibility with sklearn:
- a classification algorithm is trained to tell when instance A has higher target than instance B
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- the prediction is based on interpolation which is the type of result expected from a regression
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- the interpolated value can be converted to a hard prediction through binarization
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- a regression algorithm is trained to predict the difference between target values of A,B
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- the prediction is the value provided directly by the regressor
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- the regression value can be converted to a hard prediction through binarization
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