100mlI-4 dataset

1: Description.
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.

2: Type.			Low quality
3: Origin.			Laboratory
4: Instances.		52
5: Features.		4
6: Missing values.	No
7: Header.
@relation 100mlP4
@attribute Indicator1 interval [0, 10]
@attribute Indicator2 interval [0, 10]
@attribute Indicator3 interval [0, 10]
@attribute Indicator4 interval [0, 10]
@attribute Class subset {0, 1}
@inputs Indicator1, Indicator2, Indicator3, Indicator4
@outputs Class