System, method and computer program product for generating a training set for a classifier

A computer software product, comprising a non-transitory computer-readable medium in which program instructions are stored, which instructions, when read by a computer, cause the computer to:

• receive a training set comprising a multiplicity of training defects each having assigned attribute values, the multiplicity of training defects externally classified into a set of classes comprising at least a first major class, a second major class and a first minor class;
• train a classifier upon the training set;
• receive results of automatic classification by the classifier of the multiplicity of training defects into the set of classes, the automatic classification based on the attribute values;
• automatically identify at least one first defect from the multiplicity of training defects that was externally classified into the first major class and automatically classified into the second major class;
• automatically identify a second defect from the multiplicity of training defects that was externally classified into the minor class and automatically classified to a class selected from the first major class and the second major class;
• and
• correct the training set to include the at least one first defect into the second major class, or to include the second defect into the first major class or the second major class.

A method of generating a training set for a classifier using a processor operatively connected to a memory, the method comprising:

• receiving by the processor a training set comprising a multiplicity of training defects each having assigned attribute values, the multiplicity of training defects externally classified into a set of classes comprising at least a first major class, a second major class and a first minor class;
• training by the processor a classifier upon the training set;
• receiving by the processor results of automatic classification by the classifier of the multiplicity of training defects into the set of classes, the automatic classification based on the attribute values;
• automatically identifying by the processor at least one first defect from the multiplicity of training defects that was externally classified into the first major class and automatically classified into the second major class;
• automatically identifying by the processor a second defect from the multiplicity of training defects that was externally classified into the minor class and automatically classified to a class selected from the first major class and the second major class;
• and
• correcting by the processor the training set to include the at least one first defect into the second major class, or to include the second defect into the first major class or the second major class.