dec_cor: Number of individuals for which the decision is correct.
Description
dec_cor is a frequency that describes the
number of individuals in the current population N
for which the decision is correct/accurate
(i.e., cases in which the decision corresponds to the condition).
Usage
dec_cor
Arguments
Format
An object of class numeric of length 1.
Details
Key relationships:
to probabilities:
The frequency of dec_cor individuals depends on the population size N and
the accuracy acc.
to other frequencies:
In a population of size N the following relationships hold:
N = cond_true + cond_false (by condition)
N = dec_pos + dec_neg (by decision)
N = dec_cor + dec_err (by correspondence of decision to condition)
dec_cor = hi + cr
dec_err = mi + fa
N = hi + mi + fa + cr (by condition x decision)
correspondence:
When not rounding the frequencies of freq then
dec_cor = N x acc = hi + cr
(i.e., dec_cor corresponds to the sum of true positives hi and true negatives cr.
Current frequency information is computed by
comp_freq and contained in a list
freq.
is_freq verifies frequencies;
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.
Other frequencies:
N,
cond_false,
cond_true,
cr,
dec_err,
dec_neg,
dec_pos,
fa,
hi,
mi
dec_cor <- 1000 * .50# => sets dec_cor to 50% of 1000 = 500 cases.is_freq(dec_cor) # => TRUEis_prob(dec_cor) # => FALSE, as dec_cor is no probability (but acc, bacc/wacc ARE)