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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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Krill Herd Optimization NUMERICAL EXAMPLE ~xRay Pixy

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 Krill Herd Optimization Algorithm Numerical Example KRILL HERD OPTIMIZATION ALGORITHM STEPS Initialize Algorithm Parameters. Initialize Population for Krill's. Evaluate Krill's Performance. Selection Best Krill Among all. Check While (Current Iteration <= Maximum Iteration) Calculate Neighbors Krill Effect. Movement Induced. Calculate Food Attraction. Calculate Best Position Attraction. Foraging Motion. Physical Diffusion. Crossover and Mutation Update Krill Position. End While Display Best Solution Movement Induced Calculation Foraging Motion Calculation Physical Diffusion Calculation What is Krill Herd Optimization Algorithm?  Krill herd optimization algorithm is introduced in 2012 to solve the Global Optimization Function. This is a population-based Swarm Intelligence Search Algorithm based on the Herding behavior of krill.   In the Krill herd optimization algorithm, we have a  Group of Krill individuals and they are  Se...
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