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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

Moth Flame Optimization Algorithm with Example ~xRay Pixy

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Moth Flame Optimization Algorithm (MFOA) is inspired by moth's behavior in nature. Moth Flame Optimization Algorithm is a nature-inspired population-based algorithm used to solve real-life optimization problems. Video timestamps Introduction: 00:00 About Moths: 00:30 Moth Flame Optimization Algorithm (MFOA): 01:20 MFOA Mathematical Model: 02:50 Moth Flame Optimization Algorithm Steps: 04:19 Moth Flame Optimization Algorithm Assumptions: 05:15 Moth Flame Optimization Algorithm Example: 06:43 Conclusion: 08:28 Topics Covered in this video What is a moth-flame optimization algorithm? The mathematical model for moth flame optimization algorithm. How moth-flame optimization algorithm works? Certain features about moth-flame optimization algorithm. Certain Assumptions about moth-flame optimization algorithm. Moth-flame optimization algorithm Application areas. How to solve moth-flame optimization algorithm? Moth Flame Optimization Algorithm Applications Forecast the electricity consumpt...
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