Misclassification Rate
Misclassification rate is a machine-learning metric that denotes the percentage of erroneous observations made by any classification system. The formula is as follows: Misclassification Rate
Category: Lexicon
Model
Machine Learning model is the end result that happens after an ML algorithm processes the sample data it was fed during the training phase. When
Named Entity Recognition (NER)
As the term implies, Named Entity Recognition (NER) is the process of identifying and extracting entities from unstructured text data. It is an AI technology
Natural Language Generation
Natural Language Generation, or NLG, is a part of Artificial Intelligence that generates easy-to-understand language for humans. It is a part of Natural Language Processing,
Natural Language Processing
Natural Language Processing is a sub-discipline of Artificial Intelligence that equips machines with the capacity to comprehend, interpret and operate human language. NLP involves some
Natural Language Query (NLQ)
Natural Language Query is an element of Business Intelligence (BI) software solutions that allows users to ask data-related queries in conversational languages. It is vital
Natural Language Technology (NLT)
Natural Language Technology (NLT) is an AI subdomain focussing on human language and computer interaction. Under NLT come all other language-related techniques, such as Natural
Neural Radiance Fields (NeRF)
Neural Radiance Fields (NeRF) is a deep learning technique used to reconstruct 3D representations of scenes from a set of sparse 2D images. NeRFs operate
Neuron
In machine learning, Neurons serve as distinct units within a single hidden layer of a Neural Network. Each Neuron functions by executing a two-step action:
Noise
Real-world data, which is used as an input for data mining algorithms, can be affected by several variables. Noise is one of the most common
Not Suitable for Work (NSFW)
NSFW is an acronym used to denote content deemed unsuitable for professional settings due to its potentially offensive, provocative, or distressing nature. When applied in
Null Error Rate
The Null Error Rate is a valuable metric to measure the performance of an algorithm against the majority class. It indicates the percentage of incorrect
