Binary classification Flashcards
Series expand e
Σen/n!
Define precision in terms of tp, fp, tn, fn
precision = tp / (tp + fp)
Define recall in terms of tp, fp, tn, fn
recall = tp / (tp + fn)
Define sensitivity in terms of tp, fp, tn, fn
sensitivity = tp / (tp + fn)
Define specificity in terms of tp, fp, tn, fn
specificicy = tn / (fp + tn)
Define F1 score in terms of tp, fp, tn, fn
F1 = 2tp / (2tp + fp + fn)
another name for recall used in classification
sensitivity or true positive rate
another name for precision
positive prediction value - PPV
Define specificity in terms of tp, fp, tn, fn
specificy = tn / (tn + fp)
illustrate Sensitivity with an example
he probability that the test is positive given that the patient is sick.
illustrate Specificity
the probability that the test result is negative given that the patient is not sick
what is tp / (tp + fp)
precision
what is tp / (tp + fn)
recall, true positive rate, sensitivity
sensitivity = tp / (tp + fn)
Define sensitivity in terms of tp, fp, tn, fn
what is tn / (fp + tn)
specificity
