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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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Software Testing using Metaheuristic Optimization Algorithms

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Q. Where we can use Metaheuristic Optimization Algorithms? A. Metaheuristic Algorithms are used in different fields to solve optimization problems in different fields either for minimization of for maximization.  Metaheuristic Algorithms Categories.  1. Single Based Metaheuristic Algorithms: Single Solution is generated at each iteration/generation. Single Based Metaheuristic Algorithms Examples. Tabu Search Guided Local Search Iterated Local Search Variable Neighborhood Search Greedy Randomized Adaptive Search 2. Population-Based Metaheuristic Algorithms: Multiple Solutions are generated at each iteration/generation. Examples: Nature-Inspired Metaheuristic Algorithm      Evolutionary Algorithms Swarm Based Algorithm Human-Based Algorithm  Physics-Based Algorithm Bio-Inspired Algorithm Art-Inspired Algorithm Plant-Based Algorithm Q. How we can use Metaheuristic Optimization Algorithms in Software Testing? Metaheuristic Optimization Algorithm in Software Te...
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