Category: AI and ML

Artificial Intelligence and Machine Learning
AI and ML

A B C D E F G H I K L M N O P Q R S T U V W Z
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accuracy

Accuracy in machine learning classification model (classifier) is a measure of how frequently each classification is correctly deemed positive or negative. Accuracy is calculated by the following mathematical formula accuracy = (true positives + true negatives) / (all estimated values) Use the following reference for some good visual examples of accuracy, precision and recall: https://www.evidentlyai.com/classification-metrics/accuracy-precision-recall.

activation function

An activation function in artificial neural networks (ANN) is a function which computes the output of an artificial neuron to solve non-linear tasks. The activation function of a neural network essentially decides whether a neuron should be activated or not.