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hello my name is luis serrano and this video is about the receiver operating characteristic or ROC curve the RC curve is used widely to evaluate machine learning models and make important decisions first letamp;#39;s say we have a data set of blue and red points where the blue points are labeled positive and the red ones are labeled negative now we proceed to build a machine learning model that fits this data set for example this line notice that this line is a blue and a red side in the king that every point in the blue side is classified as blue or positive and Iamp;#39;m pointing the red side is classified as red or negative notice that the model makes some mistakes one of them is this red point which is a buck line or on the blue area and another one is this blue point which is below the line around the red area these errors have names since the red point is a negatively labeled point yet itamp;#39;s predicted positive is called a false positive and since the blue point
