Description Usage Arguments Value Examples
pe
takes actual and forecast numeric vectors and returns a
numeric vector where forecast is subtracted from the actual and
then those errors are divided by the actuals. Lastly, the
absolute value of those percent errors are taken.
1 |
y_true |
Ground truth (correct) target values. |
y_pred |
Estimated target values. |
actual |
a numeric vector of actuals. |
forecast |
a numeric vector of forecasts. |
a numeric vector of absolute percent errors.
1 2 | # Examples
ape(1:100, 100:1)
|
[1] 99.00000000 48.50000000 31.66666667 23.25000000 18.20000000 14.83333333
[7] 12.42857143 10.62500000 9.22222222 8.10000000 7.18181818 6.41666667
[13] 5.76923077 5.21428571 4.73333333 4.31250000 3.94117647 3.61111111
[19] 3.31578947 3.05000000 2.80952381 2.59090909 2.39130435 2.20833333
[25] 2.04000000 1.88461538 1.74074074 1.60714286 1.48275862 1.36666667
[31] 1.25806452 1.15625000 1.06060606 0.97058824 0.88571429 0.80555556
[37] 0.72972973 0.65789474 0.58974359 0.52500000 0.46341463 0.40476190
[43] 0.34883721 0.29545455 0.24444444 0.19565217 0.14893617 0.10416667
[49] 0.06122449 0.02000000 0.01960784 0.05769231 0.09433962 0.12962963
[55] 0.16363636 0.19642857 0.22807018 0.25862069 0.28813559 0.31666667
[61] 0.34426230 0.37096774 0.39682540 0.42187500 0.44615385 0.46969697
[67] 0.49253731 0.51470588 0.53623188 0.55714286 0.57746479 0.59722222
[73] 0.61643836 0.63513514 0.65333333 0.67105263 0.68831169 0.70512821
[79] 0.72151899 0.73750000 0.75308642 0.76829268 0.78313253 0.79761905
[85] 0.81176471 0.82558140 0.83908046 0.85227273 0.86516854 0.87777778
[91] 0.89010989 0.90217391 0.91397849 0.92553191 0.93684211 0.94791667
[97] 0.95876289 0.96938776 0.97979798 0.99000000
Warning messages:
1: In ape(1:100, 100:1) :
'ape' is deprecated. Use 'absolute_percent_error' instead.
2: In pe(actual, forecast) :
'pe' is deprecated. Use 'percent_error' instead.
3: In e(actual, forecast) :
'e' is deprecated. Use 'absolute_error' instead.
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