Open Internet by MindsNet

Handling Ghost Records and Missing Data in Clinical Machine Learning

The presence of 'ghost records' with all predictors set to NaN artificially inflates machine learning model performance. Removing these records significantly drops model performance, raising questions about publishability and suitable imputation methods.

Computing & Technology, Computer Science, Machine Learning