CDF (version 0.1.0)

DARWIN: DARWIN Handwriting Dataset (P vs H)

Description

Handwriting data from 174 participants for a binary classification task: distinguishing Alzheimer's disease patients (P) from healthy controls (H). The feature matrix contains 450 numeric handwriting-derived measures; the last column Y is the class label with levels P and H.

Usage

data(DARWIN)

Format

A data.frame with 174 rows and 451 columns:

Columns [1--450]

Numeric handwriting features (predictors).

Y

Factor, class label with two levels: P (patients), H (healthy).

Details

• Purpose: Research on predicting Alzheimer's via handwriting analysis.

• Instances: 174

• Features (X): 450 (numeric)

• Target (Y): P/H

• Missing values: None

Examples

data(DARWIN)
dim(DARWIN)
table(DARWIN$Y)