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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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Cuckoo Search Algorithm By Levy's Flight

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Q. What is the Cuckoo Search Algorithm? A. Cuckoo Search  Algorithm is a Meta-Heuristic Algorithm. Cuckoo Search  Algorithm is inspired by some Cuckoo species laying their eggs in the nest of other species birds. In this algorithm, we have 2 birds Species: Cuckoo birds and Host Birds (i.e., Other Species Bird). Cuckoo bird lay its eggs in the nest of other species birds. This increase their survival and productivity. Q. What happened if Host Bird Discovered Cuckoo Egg?  A.  If Host Bird Discovered Cuckoo Bird Eggs:         1.) The host bird can throw the egg away.         2.) Abandon the nest and build a completely new nest. Mathematically, Each egg represent a solution and it is stored in the host bird nest. In this algorithm Artificial Cuckoo Birds are used. Artificial Cuckoo can lay one egg at a time. We will replace New and better solutions with less fit solutions. It means eggs that are more similar to host bird...
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