Simulated_Drifted_Dataset

The curate dataset comprises 174 tabular entries, each representing handwriting data generated from 25 neuroscience-informed tasks. These tasks are categorized into three groups: Memory and Dictation (M), Graphic (G), and Copy (C). Each task contributes 18 distinct handwriting features. This structure results in a total of 450 tabular features (25 tasks × 18 features) per sample, offering a comprehensive and structured dataset for Alzheimer’s research. This tabular format 174 x 450 (provided in .csv file format) facilitates detailed analysis and supports the application of machine learning techniques to study effect data drift to determine cognitive and motor impairments