Inductive Learning Techniques

Description:

In inductive learning, knowledge is compiled by generalising patterns in factual experience. By analyzing descriptors of many solvent and insolvent customers you may learn to recognize, on the basis of the descriptor values, which customers appear to be solvent and which are not. This kind of task would be referred to as Concept Learning.

Age	Income	Education	Solvability
72	18	L	-
14	85	L	-
98	18	L	-
16	76	H	+
65	98	H	+
32	82	H	+
28	75	H	+
19	62	H	+
32	73	H	-
65	36	H	-
56	66	H	-

The above table may learn you that

IF education = H AND (Income > 75 OR age < 30)

THEN solvability = +

ELSE solvability = -