100mlP-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. 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. 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