in a confusion matrix the positive tuples that were mislabled as negative is known as
Answers
Answered by
0
Answer:
First up is the confusion matrix which is useful for quickly calculating precision and recall given the predicted labels from a model. A confusion matrix for binary classification shows the four different outcomes: true positive, false positive, true negative, and false negative.
Answered by
0
Answer:
turanround. this is because a matrix like the matrix of leadership from Transformers:Prime contains an unexpected event/...
Explanation:
Similar questions