This section describes main characteristics of the dyslexic_12_4 data set and its attributes:
General information
dyslexic_12_4 data set |
Type | Low quality | Origin | Laboratory |
Features | 12 | (Real / Integer / Nominal) | (12 / 0 / 0) |
Instances | 65 | Missing values? | Yes |
Attribute description
Attribute | Domain | Attribute | Domain |
Indicator 1 | [0.0, 10.0] | Indicator 7 | [0.0, 10.0] |
Indicator 2 | [0.0, 10.0] | Indicator 8 | [0.0, 10.0] |
Indicator 3 | [0.0, 10.0] | Indicator 9 | [0.0, 10.0] |
Indicator 4 | [0.0, 10.0] | Indicator 10 | [0.0, 10.0] |
Indicator 5 | [0.0, 10.0] | Indicator 11 | [0.0, 10.0] |
Indicator 6 | [0.0, 10.0] | Indicator 12 | [0.0, 10.0] |
Class | {0, 1, 2, 4} |
Additional information
Dyslexia can be defined as a learning disability in people with normal intellectual coefficient, and without further physical or psychological problems that can explain such disability.
This dataset contains 12 medical indicators/attributes (mainly intended to detect whether reading, writing and calculus skills are at the proper rate) of 65 schoolchildren with ages between 6 and 8, of Asturias (Spain), where this disorder is not rare. It has been estimated that between 4% and 5% of these schoolchildren have dyslexia. All schoolchildren at Asturias are routinely examined by a psychologist that can diagnose dyslexia.
The present dataset contains vague data in both input and output variables. The output variable is a subset of the 4 labels that follow:
- No dyslexic.
- Control and revision.
- Dyslexic.
- Inattention, hyperactivity or other problems.
In this section you can download some files related to the dyslexic_12_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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