R: Dataset A of the NN3 Competition

NN3.A {TSPred}

R Documentation

Dataset A of the NN3 Competition

Description

The NN3 Competition dataset composed of monthly time series drawn from homogeneous population of real empirical business time series.

Usage

NN3.A

Format

A data frame with 126 observations on the following 111 variables.

NN3.001: a numeric vector containing the 51 observations of a univariate time series.
NN3.002: a numeric vector containing the 51 observations of a univariate time series.
NN3.003: a numeric vector containing the 51 observations of a univariate time series.
NN3.004: a numeric vector containing the 51 observations of a univariate time series.
NN3.005: a numeric vector containing the 51 observations of a univariate time series.
NN3.006: a numeric vector containing the 51 observations of a univariate time series.
NN3.007: a numeric vector containing the 51 observations of a univariate time series.
NN3.008: a numeric vector containing the 51 observations of a univariate time series.
NN3.009: a numeric vector containing the 51 observations of a univariate time series.
NN3.010: a numeric vector containing the 51 observations of a univariate time series.
NN3.011: a numeric vector containing the 51 observations of a univariate time series.
NN3.012: a numeric vector containing the 51 observations of a univariate time series.
NN3.013: a numeric vector containing the 51 observations of a univariate time series.
NN3.014: a numeric vector containing the 51 observations of a univariate time series.
NN3.015: a numeric vector containing the 51 observations of a univariate time series.
NN3.016: a numeric vector containing the 51 observations of a univariate time series.
NN3.017: a numeric vector containing the 51 observations of a univariate time series.
NN3.018: a numeric vector containing the 51 observations of a univariate time series.
NN3.019: a numeric vector containing the 51 observations of a univariate time series.
NN3.020: a numeric vector containing the 51 observations of a univariate time series.
NN3.021: a numeric vector containing the 51 observations of a univariate time series.
NN3.022: a numeric vector containing the 50 observations of a univariate time series.
NN3.023: a numeric vector containing the 51 observations of a univariate time series.
NN3.024: a numeric vector containing the 51 observations of a univariate time series.
NN3.025: a numeric vector containing the 51 observations of a univariate time series.
NN3.026: a numeric vector containing the 51 observations of a univariate time series.
NN3.027: a numeric vector containing the 51 observations of a univariate time series.
NN3.028: a numeric vector containing the 51 observations of a univariate time series.
NN3.029: a numeric vector containing the 51 observations of a univariate time series.
NN3.030: a numeric vector containing the 51 observations of a univariate time series.
NN3.031: a numeric vector containing the 51 observations of a univariate time series.
NN3.032: a numeric vector containing the 51 observations of a univariate time series.
NN3.033: a numeric vector containing the 51 observations of a univariate time series.
NN3.034: a numeric vector containing the 51 observations of a univariate time series.
NN3.035: a numeric vector containing the 51 observations of a univariate time series.
NN3.036: a numeric vector containing the 51 observations of a univariate time series.
NN3.037: a numeric vector containing the 51 observations of a univariate time series.
NN3.038: a numeric vector containing the 51 observations of a univariate time series.
NN3.039: a numeric vector containing the 51 observations of a univariate time series.
NN3.040: a numeric vector containing the 51 observations of a univariate time series.
NN3.041: a numeric vector containing the 51 observations of a univariate time series.
NN3.042: a numeric vector containing the 51 observations of a univariate time series.
NN3.043: a numeric vector containing the 51 observations of a univariate time series.
NN3.044: a numeric vector containing the 51 observations of a univariate time series.
NN3.045: a numeric vector containing the 51 observations of a univariate time series.
NN3.046: a numeric vector containing the 51 observations of a univariate time series.
NN3.047: a numeric vector containing the 51 observations of a univariate time series.
NN3.048: a numeric vector containing the 51 observations of a univariate time series.
NN3.049: a numeric vector containing the 51 observations of a univariate time series.
NN3.050: a numeric vector containing the 51 observations of a univariate time series.
NN3.051: a numeric vector containing the 123 observations of a univariate time series.
NN3.052: a numeric vector containing the 126 observations of a univariate time series.
NN3.053: a numeric vector containing the 126 observations of a univariate time series.
NN3.054: a numeric vector containing the 126 observations of a univariate time series.
NN3.055: a numeric vector containing the 126 observations of a univariate time series.
NN3.056: a numeric vector containing the 126 observations of a univariate time series.
NN3.057: a numeric vector containing the 123 observations of a univariate time series.
NN3.058: a numeric vector containing the 122 observations of a univariate time series.
NN3.059: a numeric vector containing the 116 observations of a univariate time series.
NN3.060: a numeric vector containing the 126 observations of a univariate time series.
NN3.061: a numeric vector containing the 126 observations of a univariate time series.
NN3.062: a numeric vector containing the 122 observations of a univariate time series.
NN3.063: a numeric vector containing the 126 observations of a univariate time series.
NN3.064: a numeric vector containing the 116 observations of a univariate time series.
NN3.065: a numeric vector containing the 126 observations of a univariate time series.
NN3.066: a numeric vector containing the 126 observations of a univariate time series.
NN3.067: a numeric vector containing the 126 observations of a univariate time series.
NN3.068: a numeric vector containing the 121 observations of a univariate time series.
NN3.069: a numeric vector containing the 121 observations of a univariate time series.
NN3.070: a numeric vector containing the 121 observations of a univariate time series.
NN3.071: a numeric vector containing the 126 observations of a univariate time series.
NN3.072: a numeric vector containing the 126 observations of a univariate time series.
NN3.073: a numeric vector containing the 126 observations of a univariate time series.
NN3.074: a numeric vector containing the 126 observations of a univariate time series.
NN3.075: a numeric vector containing the 126 observations of a univariate time series.
NN3.076: a numeric vector containing the 126 observations of a univariate time series.
NN3.077: a numeric vector containing the 126 observations of a univariate time series.
NN3.078: a numeric vector containing the 126 observations of a univariate time series.
NN3.079: a numeric vector containing the 126 observations of a univariate time series.
NN3.080: a numeric vector containing the 126 observations of a univariate time series.
NN3.081: a numeric vector containing the 126 observations of a univariate time series.
NN3.082: a numeric vector containing the 116 observations of a univariate time series.
NN3.083: a numeric vector containing the 126 observations of a univariate time series.
NN3.084: a numeric vector containing the 122 observations of a univariate time series.
NN3.085: a numeric vector containing the 126 observations of a univariate time series.
NN3.086: a numeric vector containing the 126 observations of a univariate time series.
NN3.087: a numeric vector containing the 121 observations of a univariate time series.
NN3.088: a numeric vector containing the 78 observations of a univariate time series.
NN3.089: a numeric vector containing the 126 observations of a univariate time series.
NN3.090: a numeric vector containing the 126 observations of a univariate time series.
NN3.091: a numeric vector containing the 116 observations of a univariate time series.
NN3.092: a numeric vector containing the 115 observations of a univariate time series.
NN3.093: a numeric vector containing the 126 observations of a univariate time series.
NN3.094: a numeric vector containing the 116 observations of a univariate time series.
NN3.095: a numeric vector containing the 126 observations of a univariate time series.
NN3.096: a numeric vector containing the 126 observations of a univariate time series.
NN3.097: a numeric vector containing the 126 observations of a univariate time series.
NN3.098: a numeric vector containing the 126 observations of a univariate time series.
NN3.099: a numeric vector containing the 115 observations of a univariate time series.
NN3.100: a numeric vector containing the 116 observations of a univariate time series.
NN3_101: a numeric vector containing the 126 observations of a univariate time series.
NN3_102: a numeric vector containing the 126 observations of a univariate time series.
NN3_103: a numeric vector containing the 126 observations of a univariate time series.
NN3_104: a numeric vector containing the 115 observations of a univariate time series.
NN3_105: a numeric vector containing the 126 observations of a univariate time series.
NN3_106: a numeric vector containing the 126 observations of a univariate time series.
NN3_107: a numeric vector containing the 126 observations of a univariate time series.
NN3_108: a numeric vector containing the 115 observations of a univariate time series.
NN3_109: a numeric vector containing the 123 observations of a univariate time series.
NN3_110: a numeric vector containing the 126 observations of a univariate time series.
NN3_111: a numeric vector containing the 126 observations of a univariate time series.

Details

The NN3 Competition's Dataset A contains 111 different monthly time series. Each of this time series possess from 50 to 126 observations. Each competitor in NN3 was asked to predict the next 18 corresponding observations of each times series (NN3.A.cont). The performance evaluation done by NN3 Competition was based on the mean SMAPE error of prediction found by the competitors across all time series.

Source

NN3 2007, The NN3 Competition: Forecasting competition for artificial neural networks and computational intelligence. URL: http://www.neural-forecasting-competition.com/NN3/index.htm.

References

S.F. Crone, M. Hibon, and K. Nikolopoulos, 2011, Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction, International Journal of Forecasting, v. 27, n. 3 (Jul.), p. 635-660.

Examples


data(NN3.A)
str(NN3.A)
plot(ts(NN3.A["NN3_111"]))

[Package TSPred version 5.1 Index]