Function which makes a prediction for multinomial/logistic regression based on the given cut-off value and probabilities.
get_predictions(p,k,cutoff,cmode,mode)Outputs the array of the predictions of the size of p.
probabilities of the outcomes for the test set given either by an array (logistic regression) or by a matrix (multinomial regression)
size of the test set
cut-off value of the probability
'det' or ''; 'det' always predicts the more likely outcome as determined by the odds ratio; '' predicts certain outcome with probability corresponding to its odds ratio (more conservative). Option available for multinomial/logistic regression
'binary' (logistic regression), 'multin' (multinomial regression)
#binary mode
get_predictions(runif(20,0.4,0.6),20,0.5,'det','binary')
#creating a data-set for multinomial mode
p1<-runif(20,0.4,0.6)
p2<-runif(20,0.1,0.2)
p3<-1-p1-p2
#running the function
get_predictions(matrix(c(p1,p2,p3),ncol=3),20,0.5,'det','multin')
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