Hello, I have to predict a binary variable (1/0) using predicitve modelling. ANN, Logistc Regression and Decidion Trees are used. In the socring code there are two variables created that i don;t know how to interpret. These are I_TARGET_B and U_TARGET_B. WHat do these variables express? As i have seen these variables take the same values, the one as character and the other as numeric). The scoring code for these variables is as follows: *** Writing the I_TARGET_B AND U_TARGET_B ; *** *************************; _MAXP_ = P_TARGET_B1 ; I_TARGET_B = "1 " ; U_TARGET_B= 1; IF( _MAXP_ LT P_TARGET_B0 ) THEN DO; _MAXP_ = P_TARGET_B0 ; I_TARGET_B = "0 " U_TARGET_B = 0; END; ********************************; *** End Scoring Code for Neural; ********************************; What i understand is that _MAXP_ is eqaukt ot the probability of the primary event. Then the values of I_TARGET_B is set to 1 (character) and the values of U_TARGET_B is set to 1 (numeric). SOthese variables have the same values, the one is character, the other numeric. Then if the probability of promary event is lower than the probability of secondary event I_TARGET_B and U_TARGET_B take the value of 0 (the one character, the other numeric). What is the meaning of the variables (that practically are the same)? Thnaksin advance, ANdreas
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