This section describes main characteristics of the 100mlI-4 data set and its attributes:
General information
100mlI-4 data set |
Type | Low quality | Origin | Laboratory |
Features | 4 | (Real / Integer / Nominal) | (4 / 0 / 0) |
Instances | 52 | Missing values? | No |
Attribute description
Attribute | Domain |
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
here
.
- A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from here
.
- The header file associated to this data set can be downloaded from here
.
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