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Diversity prediction theorem: Difference between revisions
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Line 687:
crowd-error: 4
diversity: 10.5</pre>
=={{header|Nim}}==
<lang Nim>import strutils, math, stats
func meanSquareDiff(refValue: float; estimates: seq[float]): float =
## Compute the mean of the squares of the differences
## between estimated values and a reference value.
for estimate in estimates:
result += (estimate - refValue)^2
result /= estimates.len.toFloat
const Samples = [(trueValue: 49.0, estimates: @[48.0, 47.0, 51.0]),
(trueValue: 49.0, estimates: @[48.0, 47.0, 51.0, 42.0])]
for (trueValue, estimates, ) in Samples:
let m = mean(estimates)
echo "True value: ", trueValue
echo "Estimates: ", estimates.join(", ")
echo "Average error: ", meanSquareDiff(trueValue, estimates)
echo "Crowd error: ", (m - trueValue)^2
echo "Prediction diversity: ", meanSquareDiff(m, estimates)
echo ""</lang>
{{out}}
<pre>True value: 49.0
Estimates: 48.0, 47.0, 51.0
Average error: 3.0
Crowd error: 0.1111111111111127
Prediction diversity: 2.888888888888889
True value: 49.0
Estimates: 48.0, 47.0, 51.0, 42.0
Average error: 14.5
Crowd error: 4.0
Prediction diversity: 10.5</pre>
=={{header|Perl}}==
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