👉 Spuriously is a term used in computer science to describe an algorithm that performs well on one set of data but poorly on another, often due to sampling or other issues. It is a type of outlier detection technique where the algorithm identifies and removes outliers from a dataset based on a specific criterion. The term is often used in conjunction with "spurious" to indicate something that appears to be anomalous or incorrect but actually has no inherent significance or value.