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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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Sparrow Search Algorithm: New Optimization Algorithm 2021

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 Sparrow Search Algorithm

Sparrow Search Algorithm is inspired by the foraging behaviors of Sparrows.

2 Types of Sparrow according to their roles in foraging: 

Producers (they collect food from different sources)

Scroungers ( obtain food discovered by producers )

OUTPUT: Best Position and Fitness value.


Viedo Link: https://youtu.be/Yxy0kszRzdY

Sparrow Search Algorithm Steps

Step 01: Initialize Sparrows population Randomly & its Parameters. 
Step 02: Calculate fitness values for each agent. 
Step 03: Update Sparrow Location for Producers and Scroungers in the search space. 
Step 04 : Update Current New Location.
Step 05 : If New Location is Better than before. [Update it]
Step 06 : Increment Counter i.e., t = t + 1. [until condition satisfy (t<MaxT)].
Step 07: Return Current Best Position (𝑋_𝐵𝑒𝑠𝑡) and Fitness Value (𝑓_𝑔). 

New Optimization Algorithm 2021
#SSA
#Sparrowsearchalgorithm
#OptimizationAlgorithm 


#Metaheuristic #Algorithms
Meta-heuristic Algorithms

Link - Click Here

Comments

  1. Unknown23 May 2021 at 03:45

    Mam please explain squrriel search algorithm, water cycle algorithm

    ReplyDelete

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