Data
letter

letter

active ARFF Public Domain (CC0) Visibility: public Uploaded 07-02-2024 by Juan Alfaro
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
The objective is to identify each of a large number of black-and-white rectangular pixel displays as one of the 26 capital letters in the English alphabet.

42 features

L1 (target)nominal26 unique values
0 missing
L2 (target)nominal26 unique values
0 missing
L3 (target)nominal26 unique values
0 missing
L4 (target)nominal26 unique values
0 missing
L5 (target)nominal25 unique values
0 missing
L6 (target)nominal26 unique values
0 missing
L7 (target)nominal26 unique values
0 missing
L8 (target)nominal23 unique values
0 missing
L9 (target)nominal26 unique values
0 missing
L10 (target)nominal26 unique values
0 missing
L11 (target)nominal23 unique values
0 missing
L12 (target)nominal26 unique values
0 missing
L13 (target)nominal26 unique values
0 missing
L14 (target)nominal26 unique values
0 missing
L15 (target)nominal26 unique values
0 missing
L16 (target)nominal26 unique values
0 missing
L17 (target)nominal26 unique values
0 missing
L18 (target)nominal26 unique values
0 missing
L19 (target)nominal22 unique values
0 missing
L20 (target)nominal26 unique values
0 missing
L21 (target)nominal25 unique values
0 missing
L22 (target)nominal26 unique values
0 missing
L23 (target)nominal26 unique values
0 missing
L24 (target)nominal26 unique values
0 missing
L25 (target)nominal26 unique values
0 missing
L26 (target)nominal26 unique values
0 missing
A1numeric16 unique values
0 missing
A2numeric16 unique values
0 missing
A3numeric16 unique values
0 missing
A4numeric16 unique values
0 missing
A5numeric16 unique values
0 missing
A6numeric16 unique values
0 missing
A7numeric16 unique values
0 missing
A8numeric16 unique values
0 missing
A9numeric16 unique values
0 missing
A10numeric16 unique values
0 missing
A11numeric16 unique values
0 missing
A12numeric16 unique values
0 missing
A13numeric16 unique values
0 missing
A14numeric16 unique values
0 missing
A15numeric16 unique values
0 missing
A16numeric16 unique values
0 missing

19 properties

20000
Number of instances (rows) of the dataset.
42
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
16
Number of numeric attributes.
26
Number of nominal attributes.
0
Percentage of missing values.
Average class difference between consecutive instances.
38.1
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
61.9
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.

0 tasks

Define a new task