which math function enables the learning algorithm to forcate points into zero and zero? what is the threshold for false positive how to classify a particular point as one which of the following points is correctly classified as one? how can i force a particular false positive rate? how to classify a level as 1 for a learning algorithm how many points are 0? what is the threshold to fail a learning algorithm how to determine threshold for false positives? when a learning algorithm classifies points as 0 how many points should be classified as 1 which is true of a false positive can a learning algorithm impose a threshold for false positives how to classify a level as 0 in an algorithm what is the threshold for false positive is one a 0 point in an algorithm? what is threshold for learning algorithm how to enumerate false positives why do learners need a specific false positive rate what is the threshold for a false positive on a learning algorithm? how to force a particular learning algorithm based on points