Page 98 - Demo
P. 98
%u062c%u0645%u064a%u0639 %u0627%u0644%u062d%u0642%u0648%u0642 %u0645%u062d%u0641%u0648%u0638%u0629 %u0640 %u0627%u0625%u0644%u0639%u062a%u062f%u0627%u0621 %u0639%u0649%u0644 %u062d%u0642 %u0627%u0645%u0644%u0624%u0644%u0641 %u0628%u0627%u0644%u0646%u0633%u062e %u0623%u0648 %u0627%u0644%u0637%u0628%u0627%u0639%u0629 %u064a%u0639%u0631%u0636 %u0641%u0627%u0639%u0644%u0647 %u0644%u0644%u0645%u0633%u0627%u0626%u0644%u0629 %u0627%u0644%u0642%u0627%u0646%u0648%u0646%u064a%u062998Repeat the previous steps 1- a new info (D) for (>40) table 32Info(D) =%u2212 *log2( )%u2212 *log2( ) =0.9709552- create a table for each attribute Gain(income) = info(D) %u2013 Total Income = 0.02 Gain(Student) = info(D) %u2013 info(D) Total Student = 0.02 Gain(Credit_rating) = info(D) %u2013 info(D) Total Credit_rating = 0.9709 The largest value gain of credit rating attribute then it will be the next node. The final tree will be :
