Diversity prediction theorem: Difference between revisions

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collectivePrediction<-mean(estimates)
collectivePrediction<-mean(estimates)
data.frame("True Value" = trueValue,
data.frame("True Value" = trueValue,
as.list(setNames(estimates, paste0("Guess-", seq_along(estimates)))), #Guesses, each with a title and column.
as.list(setNames(estimates, paste("Guess", seq_along(estimates)))), #Guesses, each with a title and column.
"Average Error" = mean((trueValue-estimates)^2),
"Average Error" = mean((trueValue-estimates)^2),
"Crowd Error" = (trueValue-collectivePrediction)^2,
"Crowd Error" = (trueValue-collectivePrediction)^2,