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KEEL-dataset - data set description

This section describes main characteristics of the NN5_Complete_101 data set and its attributes:

General information

NN5_Complete_101 data set
TypeTime seriesOriginReal world
Features 4(Real / Integer / Nominal)(4 / 0 / 0)
Instances782Missing values?No

Attribute description


Additional information

These series are part of the so-called reduced dataset of the Neural Network Forecasting Competition 5 (NN5). The data are daily cash withdrawal amounts at different ATMs in the UK, measured over a period of 2 years. The reduced dataset contains 11 series in total. The missing values that are present in the original version of the series were removed by a method proposed for this dataset in: J.D. Wichard. Forecasting the NN5 time series with hybrid models. International Journal of Forecasting, 27(3):700Ð707, 2011 (

In this section you can download some files related to the NN5_Complete_101 data set:

  • The complete data set already formatted in KEEL format can be downloaded from herezip.gif.
  • A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from herezip.gif.
  • The header file associated to this data set can be downloaded from heretxt.png.
  • This is not a native data set from the KEEL project. It has been obtained from the .

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