A stability index is a measure used to assess how stable or consistent something is over time. It is often used in fields like engineering, finance, and data analysis to identify changes or shifts in a system, data set, or process. By calculating the stability index, organisations can monitor trends, detect problems early, and make…
Relevance rate measures how well a piece of content, product, or recommendation matches what a user is looking for or needs. It is often calculated as the percentage of items shown that are considered relevant by users or meet specific criteria. A high relevance rate indicates that the system is successfully providing information or options…
Performance metrics are measurements used to assess how well a system, process, or individual is working. They help track progress, identify strengths and weaknesses, and guide improvements. Good metrics are clear, relevant, and easy to understand so that everyone involved can use them to make better decisions.
Model accuracy measures how often a predictive model makes correct predictions compared to the actual outcomes. It is usually expressed as a percentage, showing the proportion of correct predictions out of the total number of cases. High accuracy means the model is making reliable predictions, while low accuracy suggests it may need improvement.
Lexical filters are tools or algorithms used to include or exclude words or phrases based on specific criteria. They help process text by filtering out unwanted or irrelevant terms, making analysis and search tasks more efficient. These filters are commonly used in applications like search engines, spam detection, and text analysis to improve the quality…
Syntax parsing is the process of analysing a sequence of words or symbols according to the rules of a language to determine its grammatical structure. It breaks down sentences or code into parts, making it easier for computers to understand their meaning. Syntax parsing is a key step in tasks like understanding human language or…
Flow debugging is the process of identifying and fixing issues in a sequence of steps or actions, often within a software application or automated process. It involves examining how data and instructions move through different stages, checking for errors, and ensuring the flow works as expected. This helps developers and administrators ensure that each part…
Overlap detection is the process of identifying when two or more objects, areas, or data sets share a common space or intersect. This is important in various fields, such as computer graphics, data analysis, and scheduling, to prevent conflicts or errors. Detecting overlaps can help ensure that resources are used efficiently and that systems behave…
Weighted sampling is a method for selecting items from a group where some items are given a higher chance of being chosen than others. Each item is assigned a weight, which indicates its importance or likelihood of selection. This approach is often used when some options are more relevant or common than others, so the…
Sparse vectors are lists of numbers where most of the entries are zero. Instead of storing every value, including the zeros, sparse vectors are often represented by only recording the positions and values of the non-zero elements. This makes them much more efficient to work with when dealing with large datasets that contain mostly zero…