fa is the frequency of false alarms
or false positives (FP)
in a population of N individuals.
Details
Definition:
fa is the frequency of individuals for which
Condition = FALSE and Decision = TRUE (positive).
fa is a measure of incorrect classifications
(type-I-errors), not an individual case.
Relationships:
See also
fart is the probability of false alarms
(aka. false positive rate FPR or fallout);
num contains basic numeric parameters;
init_num initializes basic numeric parameters;
freq contains current frequency information;
comp_freq computes current frequency information;
prob contains current probability information;
comp_prob computes current probability information;
is_freq verifies frequencies.
Other essential parameters:
cr,
hi,
mi,
prev,
sens,
spec
Other frequencies:
N,
cond_false,
cond_true,
cr,
dec_cor,
dec_err,
dec_neg,
dec_pos,
hi,
mi
