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Confusion Matrix with Real-Life Examples || Artificial Intelligence || ~...

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Learn about the Confusion Matrix with Real-Life Examples. A confusion matrix is a table that shows how well an AI model makes predictions. It compares the actual results with the predicted ones and tells which are right or wrong. It includes True Positive (TP), False Positive (FP), False Negative (FN), and True Negative (TN). Video Chapters: Confusion Matrix in Artificial Intelligence 00:00 Introduction 00:12 Confusion Matrix 03:48 Metrices Derived from Confusion Matrix 04:26 Confusion Matrix Example 1 05:44 Confusion Matrix Example 2 08:10 Confusion Matrix Real-Life Uses #artificialintelligence #machinelearning #confusionmatrix #algorithm #optimization #research #happylearning #algorithms #meta #optimizationtechniques #swarmintelligence #swarm #artificialintelligence #machinelearning
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What is a meta heuristic algorithm for?

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  Metaheuristic  means a High-level problem-independent algorithmic framework that is developed for the optimization algorithm. Metaheuristic algorithms  find the best solution out of all possible solutions of an optimization. I discussed some Meta-heuristic algorithm like: Grey Wolf Optimization (GWO) Algorithm:  GWO is a metaheuristic proposed by Mirjaliali Mohammad and Lewis, 2014. GWO is inspired by the social hierarchy and the hunting technique of Grey Wolves Bat Algorithm:  The  Bat algorithm  is a metaheuristic algorithm for global optimization. It was inspired by the echolocation behavior of microbats. Cuckoo Search Algorithm: Cuckoo Search is a n ature-inspired  algorithm , based on the brood reproductive strategy of cuckoo birds to increase their population. Meta-heuristic Algorithms
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