This function returns the outcome of a confusion matrix in a list.
Arguments
- true
a vector (or a matrix) of observed values. If a matrix is provided, a multi-response is assumed
- pred
a vector (or a matrix) of predicted values
- confusion
a confusion matrix as returned by
confusion_matrix. Ifconfusionis not provided, a confusion matrix is internally computed by usingtrueandpred- positive
integer or character indicating the target class. If
positive = 0(default), global values are computed.
Value
a list containing the number of false positives (FP), false negatives (FN),
true positives (TP), and true negatives (TN) of a confusion matrix.
Details
The outcomes of a confusion matrix are returned as elements of a list.
The four possible outcomes are:
- TP
true positives, when the actual presence of a condition is correctly predicted
- TN
true negatives, when the actual absence of a condition is correctly predicted
- FP
false positives, when the actual absence of a condition is wrongly predicted
- FN
false negatives, when the actual presence of a condition is wrongly predicted