dec_cor: Number of individuals for which the decision is correct.

Description Usage Format Details References See Also Examples


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).




An object of class numeric of length 1.


Key relationships:

  1. to probabilities: The frequency of dec_cor individuals depends on the population size N and the accuracy acc.

  2. 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)

  3. 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.


Consult Wikipedia: Confusion matrix for additional information.

See Also

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)        # => TRUE
is_prob(dec_cor)        # => FALSE, as dec_cor is no probability (but acc, bacc/wacc ARE)

riskyr documentation built on Jan. 3, 2019, 1:06 a.m.