. Training, Validation and Test DataExample:(A)We have data on 16 data items , their attributes and class labels.RANDOMLY divide them into 8 for training, 4 for validation and 4 for testing.Training Item No. d Attributes Class1.02.03.KNOWN FOR ALL14.15.DATA ITEMS16.17.08.0Validation 9.010.011.112.0Test 13.014.015.116.1(B). Next, suppose we develop, three classific