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"""in this what we are doing as it is told that we have to use log loss for comparing and the thing is while 
using auc we know that for random numbers auc is 0.5 so we have to make our model with accuracy more than 0.5
same thing here as we are using log loss so first we will determine log loss for random numbers with this datasets
and then we will try to built our model with log loss less than that random log loss"""
"we will take probablities of each class for all data points(for which we will divide class by total classes) \nIn a 'Random' Model, we generate the NINE class probabilites randomly such that they sum to 1."