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Cubist supposes
existence of a sample of cases where each case is described by: number of attributes, so called predictors, doesn’t matter if they are qualitative or quantitative values, and one class which is quantitative value (continuous values). Problem is: Find ‘knowledge’ describing relationship between attributes and class, something like: IF (attribute1 is less-equal-greater-then v1 and …attributen is less-equal-greater-then vn) THEN (class is a function-linear-regression of attributes) |