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in this video I will discuss how to find the genie index and how to use Genie index to find the best splitting attribute while building decision Tree in machine learning in this case we have been given a data set with 20 examples gender car type and the shared size are the attributes class is the Target in this case the class has two possibilities c0 and C1 given this particular data set first we need to find the genie index and based on that particular Gene index we need to select one of these particular attributes as the splitting attribute here so first we will try to find the gene index for the overall data set the equation for Genie index looks something like this Genie is equivalent to 1 minus summation of I is equal to 1 to c p i square that is p i is the probability of a C class in this case so in this case we have two classes that is C 0 and C1 so in the first case it will become probability of C 0 in the second case it will become probability of C1 over here so how to calcula