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KEEL-dataset - data set description

This section describes main characteristics of the 100mlP-4 data set and its attributes:

General information

100mlP-4 data set
TypeLow qualityOriginLaboratory
Features 4(Real / Integer / Nominal)(4 / 0 / 0)
Instances52Missing values?No

Attribute description

Indicator 1[0.0, 10.0]
Indicator 2[0.0, 10.0]
Indicator 3[0.0, 10.0]
Indicator 4[0.0, 10.0]
Class{0, 1}

Additional information

This dataset is used for predicting whether a mark in the 100 metres sprint race is being achieved (class label 1) or not (class label 0).

There are four indicators (attributes) in the 100 m race:

1) Indicator 1: the ratio between weight and height.
2) Indicator 2: the reaction time.
3) Indicator 3: the starting or 20 m speed
4) Indicator 4: the maximum or 40 m speed.

In this data set, the trainer has graded each speed and time with a mark between 0 and 10. He was allowed to express his grades with numbers, intervals or linguistic values.

This second database has a high subjective component; it serves to assess the expert knowledge of the trainer about the athletes, by comparing this results with the actual measurements.

In this section you can download some files related to the 100mlP-4 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 10-folds cross validation procedure can be downloaded from herezip.gif.
  • The header file associated to this data set can be downloaded from heretxt.png.

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