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Calculates confusion matrix for given cutoff
confusion_matrix(probs, observed, cutoff)
numeric, vector with probabilities given by model
numeric, vector with actual values from outcome, either 0 or 1
numeric, single value denoting cutoff/threshold
object of class confussion_matrix It is a list with following fields:
confussion_matrix
tpnumber of True Positives
fpnumber of False Positives
tnnumber of True Negatives
fnnumber of False Negatives
# NOT RUN { probs <- rnorm(20, 0.4,0.1) observed <- round(runif(20)) confusion_matrix(probs, observed, 0.5) # }
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