A classifier has been trained and predictions built on a data set consisting of 16 fresh observations. The following table has the results of FPR and and TPR (left and right columns). FPR TPR 1.00000 1.00000 0.33333 1.00000 0.33333 0.90000 0.00000 0.90000 0.00000 0.00000 With these information, you will construct very carefully a ROC curve. Note that the ROC curve itself is not meant to be submitted. You will however compute the area under the curve (AUC) for this classifier and write it as a decimal number on [0, 1] (no fractions). Answer: