NN5.A: Dataset A of the NN5 Competition

Description Usage Format Details Source References See Also Examples

Description

The NN5 Competition dataset composed of daily time series originated from the observation of daily withdrawals at 111 randomly selected different cash machines at different locations within England.

Usage

1
data("NN5.A")

Format

A data frame with 735 observations on the following 111 variables.

NN5.001

a numeric vector containing observations of a univariate time series.

NN5.002

a numeric vector containing observations of a univariate time series.

NN5.003

a numeric vector containing observations of a univariate time series.

NN5.004

a numeric vector containing observations of a univariate time series.

NN5.005

a numeric vector containing observations of a univariate time series.

NN5.006

a numeric vector containing observations of a univariate time series.

NN5.007

a numeric vector containing observations of a univariate time series.

NN5.008

a numeric vector containing observations of a univariate time series.

NN5.009

a numeric vector containing observations of a univariate time series.

NN5.010

a numeric vector containing observations of a univariate time series.

NN5.011

a numeric vector containing observations of a univariate time series.

NN5.012

a numeric vector containing observations of a univariate time series.

NN5.013

a numeric vector containing observations of a univariate time series.

NN5.014

a numeric vector containing observations of a univariate time series.

NN5.015

a numeric vector containing observations of a univariate time series.

NN5.016

a numeric vector containing observations of a univariate time series.

NN5.017

a numeric vector containing observations of a univariate time series.

NN5.018

a numeric vector containing observations of a univariate time series.

NN5.019

a numeric vector containing observations of a univariate time series.

NN5.020

a numeric vector containing observations of a univariate time series.

NN5.021

a numeric vector containing observations of a univariate time series.

NN5.022

a numeric vector containing observations of a univariate time series.

NN5.023

a numeric vector containing observations of a univariate time series.

NN5.024

a numeric vector containing observations of a univariate time series.

NN5.025

a numeric vector containing observations of a univariate time series.

NN5.026

a numeric vector containing observations of a univariate time series.

NN5.027

a numeric vector containing observations of a univariate time series.

NN5.028

a numeric vector containing observations of a univariate time series.

NN5.029

a numeric vector containing observations of a univariate time series.

NN5.030

a numeric vector containing observations of a univariate time series.

NN5.031

a numeric vector containing observations of a univariate time series.

NN5.032

a numeric vector containing observations of a univariate time series.

NN5.033

a numeric vector containing observations of a univariate time series.

NN5.034

a numeric vector containing observations of a univariate time series.

NN5.035

a numeric vector containing observations of a univariate time series.

NN5.036

a numeric vector containing observations of a univariate time series.

NN5.037

a numeric vector containing observations of a univariate time series.

NN5.038

a numeric vector containing observations of a univariate time series.

NN5.039

a numeric vector containing observations of a univariate time series.

NN5.040

a numeric vector containing observations of a univariate time series.

NN5.041

a numeric vector containing observations of a univariate time series.

NN5.042

a numeric vector containing observations of a univariate time series.

NN5.043

a numeric vector containing observations of a univariate time series.

NN5.044

a numeric vector containing observations of a univariate time series.

NN5.045

a numeric vector containing observations of a univariate time series.

NN5.046

a numeric vector containing observations of a univariate time series.

NN5.047

a numeric vector containing observations of a univariate time series.

NN5.048

a numeric vector containing observations of a univariate time series.

NN5.049

a numeric vector containing observations of a univariate time series.

NN5.050

a numeric vector containing observations of a univariate time series.

NN5.051

a numeric vector containing observations of a univariate time series.

NN5.052

a numeric vector containing observations of a univariate time series.

NN5.053

a numeric vector containing observations of a univariate time series.

NN5.054

a numeric vector containing observations of a univariate time series.

NN5.055

a numeric vector containing observations of a univariate time series.

NN5.056

a numeric vector containing observations of a univariate time series.

NN5.057

a numeric vector containing observations of a univariate time series.

NN5.058

a numeric vector containing observations of a univariate time series.

NN5.059

a numeric vector containing observations of a univariate time series.

NN5.060

a numeric vector containing observations of a univariate time series.

NN5.061

a numeric vector containing observations of a univariate time series.

NN5.062

a numeric vector containing observations of a univariate time series.

NN5.063

a numeric vector containing observations of a univariate time series.

NN5.064

a numeric vector containing observations of a univariate time series.

NN5.065

a numeric vector containing observations of a univariate time series.

NN5.066

a numeric vector containing observations of a univariate time series.

NN5.067

a numeric vector containing observations of a univariate time series.

NN5.068

a numeric vector containing observations of a univariate time series.

NN5.069

a numeric vector containing observations of a univariate time series.

NN5.070

a numeric vector containing observations of a univariate time series.

NN5.071

a numeric vector containing observations of a univariate time series.

NN5.072

a numeric vector containing observations of a univariate time series.

NN5.073

a numeric vector containing observations of a univariate time series.

NN5.074

a numeric vector containing observations of a univariate time series.

NN5.075

a numeric vector containing observations of a univariate time series.

NN5.076

a numeric vector containing observations of a univariate time series.

NN5.077

a numeric vector containing observations of a univariate time series.

NN5.078

a numeric vector containing observations of a univariate time series.

NN5.079

a numeric vector containing observations of a univariate time series.

NN5.080

a numeric vector containing observations of a univariate time series.

NN5.081

a numeric vector containing observations of a univariate time series.

NN5.082

a numeric vector containing observations of a univariate time series.

NN5.083

a numeric vector containing observations of a univariate time series.

NN5.084

a numeric vector containing observations of a univariate time series.

NN5.085

a numeric vector containing observations of a univariate time series.

NN5.086

a numeric vector containing observations of a univariate time series.

NN5.087

a numeric vector containing observations of a univariate time series.

NN5.088

a numeric vector containing observations of a univariate time series.

NN5.089

a numeric vector containing observations of a univariate time series.

NN5.090

a numeric vector containing observations of a univariate time series.

NN5.091

a numeric vector containing observations of a univariate time series.

NN5.092

a numeric vector containing observations of a univariate time series.

NN5.093

a numeric vector containing observations of a univariate time series.

NN5.094

a numeric vector containing observations of a univariate time series.

NN5.095

a numeric vector containing observations of a univariate time series.

NN5.096

a numeric vector containing observations of a univariate time series.

NN5.097

a numeric vector containing observations of a univariate time series.

NN5.098

a numeric vector containing observations of a univariate time series.

NN5.099

a numeric vector containing observations of a univariate time series.

NN5.100

a numeric vector containing observations of a univariate time series.

NN5.101

a numeric vector containing observations of a univariate time series.

NN5.102

a numeric vector containing observations of a univariate time series.

NN5.103

a numeric vector containing observations of a univariate time series.

NN5.104

a numeric vector containing observations of a univariate time series.

NN5.105

a numeric vector containing observations of a univariate time series.

NN5.106

a numeric vector containing observations of a univariate time series.

NN5.107

a numeric vector containing observations of a univariate time series.

NN5.108

a numeric vector containing observations of a univariate time series.

NN5.109

a numeric vector containing observations of a univariate time series.

NN5.110

a numeric vector containing observations of a univariate time series.

NN5.111

a numeric vector containing observations of a univariate time series.

Details

The NN5 Competition's Dataset A contains 111 different daily time series. Each of these time series possesses 735 observations, and may present missing data. The time series also show different patterns of single or multiple overlying seasonal properties. Each competitor in NN5 was asked to predict the next 56 corresponding observations of each times series (NN5.A.cont). The performance evaluation done by NN5 Competition was based on the mean SMAPE error of prediction found by the competitors across all time series.

Source

NN5 2008, The NN5 Competition: Forecasting competition for artificial neural networks and computational intelligence. URL: http://www.neural-forecasting-competition.com/NN5/index.htm.

References

S.F. Crone, 2008, Results of the NN5 time series forecasting competition. Hong Kong, Presentation at the IEEE world congress on computational intelligence. WCCI'2008.

See Also

NN5.A.cont

Examples

1
2
3
data(NN5.A)
str(NN5.A)
plot(ts(NN5.A["NN5.111"]))

Example output

'data.frame':	735 obs. of  111 variables:
 $ NN5.001: num  13.4 14.7 20.6 34.7 26.6 ...
 $ NN5.002: num  11.6 13.6 15 21.6 19.4 ...
 $ NN5.003: num  5.64 14.4 24.42 28.78 20.62 ...
 $ NN5.004: num  13.18 8.45 19.52 28.88 19.47 ...
 $ NN5.005: num  9.78 10.81 21.61 38.52 24.74 ...
 $ NN5.006: num  9.24 11.64 12.1 21.41 24.67 ...
 $ NN5.007: num  14.9 16.3 16.7 23.6 26.3 ...
 $ NN5.008: num  2.89 12.36 16.38 30.16 31.18 ...
 $ NN5.009: num  7.34 9.16 10.59 12.5 7.16 ...
 $ NN5.010: num  10.3 12.7 14.4 19.4 21.5 ...
 $ NN5.011: num  13.9 13 19 27.5 24.2 ...
 $ NN5.012: num  10.1 15.5 14.6 19.2 22 ...
 $ NN5.013: num  12.1 11.4 18.5 24.7 30 ...
 $ NN5.014: num  11.3 12.7 17.5 23.4 22.6 ...
 $ NN5.015: num  8.23 13.11 18.35 25.92 19.63 ...
 $ NN5.016: num  8.52 14.5 30.57 45.42 48.74 ...
 $ NN5.017: num  15 15.6 17.7 29.4 35.8 ...
 $ NN5.018: num  11.6 13.3 27.5 33.8 32.2 ...
 $ NN5.019: num  15.9 17 30.7 44.7 30.3 ...
 $ NN5.020: num  13.2 12.6 13 21.4 22.1 ...
 $ NN5.021: num  13.4 14 14.2 24.2 21.8 ...
 $ NN5.022: num  11.93 10.05 20.32 22.7 5.99 ...
 $ NN5.023: num  7.36 7.06 12.11 18.66 15.64 ...
 $ NN5.024: num  16.45 19.1 32.64 45.76 3.95 ...
 $ NN5.025: num  9.47 11.88 17.96 25.07 19.83 ...
 $ NN5.026: num  4.51 7.3 6.08 9.09 11.14 ...
 $ NN5.027: num  5.65 5.22 5.8 7.94 9.08 ...
 $ NN5.028: num  9.11 10.19 17.91 18.85 19.5 ...
 $ NN5.029: num  12.4 15.9 24.1 33 29.8 ...
 $ NN5.030: num  12 14.4 27.5 45.7 35 ...
 $ NN5.031: num  11.4 5.6 14.2 20.9 25 ...
 $ NN5.032: num  13.7 14.1 21.7 33.9 28.4 ...
 $ NN5.033: num  11.2 12.7 22.9 34.9 26 ...
 $ NN5.034: num  17.1 17.1 25.9 43.1 34.9 ...
 $ NN5.035: num  10.6 13.9 20.4 29.6 21.9 ...
 $ NN5.036: num  5.88 10.09 14.92 16.67 18.49 ...
 $ NN5.037: num  16.1 15.46 20.81 23.46 7.89 ...
 $ NN5.038: num  14.9 17.8 32.9 35.5 30.7 ...
 $ NN5.039: num  12.4 10.6 15.9 21.9 28.6 ...
 $ NN5.040: num  10 14.4 18.9 21 22 ...
 $ NN5.041: num  11.6 12.1 20.3 29.7 22.6 ...
 $ NN5.042: num  11.5 14 19.6 31.2 26.5 ...
 $ NN5.043: num  15.5 20.1 25.4 29.5 27.8 ...
 $ NN5.044: num  11.6 14.8 19.3 26.2 21.2 ...
 $ NN5.045: num  8.6 10.8 11.1 18 22.8 ...
 $ NN5.046: num  11.07 9.84 16.55 17.55 18.61 ...
 $ NN5.047: num  13.4 14.7 20.6 34.7 26.6 ...
 $ NN5.048: num  12.4 12.4 25.3 26 30.6 ...
 $ NN5.049: num  10.4 13.2 16.4 25.5 46.1 ...
 $ NN5.050: num  13.9 13 19 27.5 24.2 ...
 $ NN5.051: num  9.84 7.02 11.6 16.04 18.28 ...
 $ NN5.052: num  12 11.5 23.3 38.2 35.7 ...
 $ NN5.053: num  6.72 7.69 9.18 12.24 13.23 ...
 $ NN5.054: num  12.5 12.4 14.5 20.4 24.9 ...
 $ NN5.055: num  4.75 5.96 4.71 9.98 10.78 ...
 $ NN5.056: num  7.785 10.692 0.565 19.976 15.479 ...
 $ NN5.057: num  11.8 15.9 16.4 19.3 25 ...
 $ NN5.058: num  10.5 14.5 21.8 27.3 30 ...
 $ NN5.059: num  7.56 11.18 11.14 15.44 22.75 ...
 $ NN5.060: num  10.4 13.7 13.5 17.9 22.8 ...
 $ NN5.061: num  11 11.3 15.4 22.9 26.8 ...
 $ NN5.062: num  11.6 12.5 23.2 26.9 29.8 ...
 $ NN5.063: num  8.35 8.23 12.81 16.99 18.74 ...
 $ NN5.064: num  10.85 12.41 15.06 22.32 8.86 ...
 $ NN5.065: num  14.9 20.6 20.1 36.9 33.2 ...
 $ NN5.066: num  14.4 16.9 19.6 31.4 31.8 ...
 $ NN5.067: num  22.1 18.4 24.6 30.6 31.1 ...
 $ NN5.068: num  26.9 23.8 26.9 33.2 33.9 ...
 $ NN5.069: num  10.6 12.6 12.6 18.8 28 ...
 $ NN5.070: num  10.81 9.89 15.49 19 24.79 ...
 $ NN5.071: num  8.97 9.15 12.54 16.9 12.83 ...
 $ NN5.072: num  5.69 12.84 14.16 19.84 16.5 ...
 $ NN5.073: num  6.43 6.31 9.68 14.83 21.67 ...
 $ NN5.074: num  9.26 7.59 9.15 13.41 16.19 ...
 $ NN5.075: num  16.9 12.6 19 28.6 33.5 ...
 $ NN5.076: num  9.69 9.26 8.97 12.72 14.08 ...
 $ NN5.077: num  11.5 10.7 15.3 16.4 19.9 ...
 $ NN5.078: num  11.7 13.9 12.7 18.3 22 ...
 $ NN5.079: num  8.34 9.88 16.32 22.55 18.1 ...
 $ NN5.080: num  12.9 14.3 19 29.7 26.9 ...
 $ NN5.081: num  4.13 4.58 6.56 7.46 9.28 ...
 $ NN5.082: num  6.09 6.19 9.32 15.44 12.38 ...
 $ NN5.083: num  10.1 12.7 22.3 37.2 31.3 ...
 $ NN5.084: num  6.56 7.98 11.53 11.65 13.2 ...
 $ NN5.085: num  9.76 7.1 11.8 18.21 21.23 ...
 $ NN5.086: num  8.97 10.39 9.34 13.36 20.37 ...
 $ NN5.087: num  14.7 17.8 24.1 44.1 33.4 ...
 $ NN5.088: num  19.24 21.63 25.57 16.77 9.77 ...
 $ NN5.089: num  12.76 11.89 13.6 17.87 9.15 ...
 $ NN5.090: num  12.2 13.1 21.1 32.9 26.6 ...
 $ NN5.091: num  12.5 10.5 15.7 12.5 0 ...
 $ NN5.092: num  10.8 13.9 11 20.8 26.2 ...
 $ NN5.093: num  14.3 11.1 13 21 20.2 ...
 $ NN5.094: num  16.7 13.4 17.1 22.2 21.3 ...
 $ NN5.095: num  20.83 18.2 20.57 5.08 29.06 ...
 $ NN5.096: num  15.1 13.5 17.2 20.5 27.6 ...
 $ NN5.097: num  9.52 6.4 10.49 11.93 14.08 ...
 $ NN5.098: num  13.4 16.2 16.5 24.1 29.1 ...
 $ NN5.099: num  8.61 7.6 12.74 13.76 13.62 ...
  [list output truncated]

TSPred documentation built on June 26, 2018, 5:04 p.m.