👉 The cut-off point, or "cutoff," refers to the threshold above which information is considered significant or worthy of retention, often used in data analysis, text processing, and machine learning. It marks the boundary beyond which additional data points are deemed less relevant or less impactful for making decisions or drawing conclusions. For instance, in text summarization, the cut-off determines how much of a document can be included in a summary without losing essential meaning. In statistical analysis, it helps in deciding which data points to include in models to avoid overfitting or noise. Essentially, the cut-off balances the need for comprehensive information against the practical limitations of processing and analyzing large datasets.
