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KEEL-dataset - data set description

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

General information

long-4 data set
TypeLow qualityOriginLaboratory
Features 4(Real / Integer / Nominal)(4 / 0 / 0)
Instances25Missing values?No

Attribute description

Indicator 1[0.0, 20.0]
Indicator 2[0.0, 100.0]
Indicator 3[0.0, 10.0]
Indicator 4[0.0, 10.0]
Class{0, 1}

Additional information

This dataset is used to predict whether an athlete will improve certain threshold in the long jump (class label 1) or not (class label 0), given the following indicators (attributes):

1) Indicator 1: the ratio between the weight and the height.
2) Indicator 2: the maximum speed in the 40 m race.
3) Indicator 3: the test of central (abdominal) muscles.
4) Indicator 4: the test of lower extremities.

The first two indicators are determined by the coach, who was allowed to use numbers, intervals or linguistic values (fuzzy intervals) at his convenience.

The two last tests are repeated three times, and produce numbers. The abdominal muscle test consists in counting how many flexion movements the athlete can repeat in a minute. Lastly, the lower extremities test measures how much the athlete can stretch.

There are 25 athletes, thus the set has 25 instances, 4 features, 2 classes, no missing values. All the features, and also the output variable, are intervalvalued.

In this section you can download some files related to the long-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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