main main
KEEL-dataset - data set description

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

General information

100mlI-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.

Actual measurements (actual reaction time, starting and maximum speed of the athletes) are taken by three observers, and are combined into the smallest interval that contains them. 25 instances, 4 features, 2 classes, no missing data. All input and output variables are intervals.

In this section you can download some files related to the 100mlI-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.

 Copyright 2004-2018, KEEL (Knowledge Extraction based on Evolutionary Learning)
About the Webmaster Team
Valid XHTML 1.1   Valid CSS!