Kinematic and looking behaviour features of a movement imitation task
All features are continuous, raw (non-normalised). Missing values and outliers are replaced with class means. # of classes: 2 (1 – autistic / 0 – non-autistic) # of data samples: 44 (22-autistic / 22-non autistic) # of features: Kinematic dataset: 120 per instruction block, Looking behaviour dataset: 48 per instruction block. Feature descriptions are given in a title row in the files and fuller descriptions are given in the paper and it’s Supplementary Methods.
Steps to reproduce
Steps to reproduce: • Split the data into train and test samples (in the files column 2 shows how data was split into training and testing samples in the original paper) • Normalise the data • Perform feature selection • Apply supervised machine learning classifier for 2 classes.