KEEL: A software tool to assess evolutionary algorithms for Data Mining problems (regression, classification, clustering, pattern mining and so on)

KEEL-dataset - data set description

NN5_Complete_107 data set

Description
Files and additional references

Description

This section describes main characteristics of the NN5_Complete_107 data set and its attributes:

General information

NN5_Complete_107 data set
Type	Time series	Origin	Real world
Features	4	(Real / Integer / Nominal)	(4 / 0 / 0)
Instances	782	Missing values?	No

Attribute description

Attribute	Domain
V1/-4	[0.0708616780045352,52.9761904761905]
V1/-3	[0.0708616780045352,52.9761904761905]
V1/-2	[0.0708616780045352,52.9761904761905]
V1/-1	[0.0708616780045352,52.9761904761905]
V1/0	[0.0708616780045352,52.9761904761905]

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 (http://www.neural-forecasting-competition.com/NN5/)

Files and additional references

In this section you can download some files related to the NN5_Complete_107 data set:

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