optdigits: Optical Recognition of Handwritten Digits

In mlr-org/mlr3data: Collection of Machine Learning Data Sets for 'mlr3'

Optical Recognition of Handwritten Digits

Description

Classification data to predict handwritten digits. Obtained using the mlr3oml package.

Binarized version of the original data set. The multi-class target column has been converted to a two-class nominal target column by re-labeling the majority class as positive ("P") and all others as negative ("N"). Originally converted by Quan Sun.

Contains 64 features and 5620 observations. Target column is "binaryclass".

Pre-processing

• All feature variables "input1", ..., "input64" (number of on pixels in each block) have been coerced to integers.

• The target variable has been renamed from "binaryClass" to "binaryclass".

Source

https://www.openml.org/d/980

Examples

data("optdigits", package = "mlr3data")
str(optdigits)

mlr-org/mlr3data documentation built on Nov. 10, 2024, 10:40 a.m.